Dugerdil, Lucas; Joannin, Sébastien; Peyron, Odile; Bayramova, Shafag; Huang, Xiaozhong; Egamberdieva, Dilfuza; Alimov, Jakhongir; Boldgiv, Bazartseren; Sahakyan, Lilit; Ménot, Guillemette (2025): Environmental parameters of the Arid Central Asian Data Base (ACADB) for surface brGDGT samples [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983366, In: Dugerdil, L et al. (2025): Arid Central Asian Data Base (ACADB) for surface brGDGT samples [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.983391
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-10-13 • DOI registered: 2025-10-13
Keyword(s):
Source:
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Li, Jingbo; Naafs, Bernhard David A; Pancost, Richard D; Yang, Huan; Liu, Deng; Xie, Shucheng (2017): Distribution of branched tetraether lipids in ponds from Inner Mongolia, NE China: Insight into the source of brGDGTs. Organic Geochemistry, 112, 127-136, https://doi.org/10.1016/j.orggeochem.2017.07.005
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Funding:
Coverage:
Median Latitude: 32.398690 * Median Longitude: 43.325074 * South-bound Latitude: -54.900000 * West-bound Longitude: -177.400000 * North-bound Latitude: 79.200000 * East-bound Longitude: 172.150000
Event(s):
Comment:
This file contains the environmental parameters: event label, method (brGDGT extraction method), latitude (°N), longitude (°E), elevation (m a.s.l.), Lake name (if the sample come from a lake), sample type (soil, lacustrine, riverine, peat, bone, marine and groundwater), country, pH, Dissolved Oxygen (DO in mg.L-1), salinity (in mg.L-1), the reference of the original publication and the database (i.e. ACADB or WDB).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Sample ID | Sample ID | Dugerdil, Lucas | |||
| 2 | Lake | Lake | Dugerdil, Lucas | |||
| 3 | Sample type | Samp type | Dugerdil, Lucas | |||
| 4 | Country | Country | Dugerdil, Lucas | |||
| 5 | LATITUDE | Latitude | Dugerdil, Lucas | Geocode | ||
| 6 | LONGITUDE | Longitude | Dugerdil, Lucas | Geocode | ||
| 7 | pH | pH | Dugerdil, Lucas | |||
| 8 | Oxygen, dissolved | DO | mg/l | Dugerdil, Lucas | ||
| 9 | Salinity, absolute | Sal | mg/l | Dugerdil, Lucas | ||
| 10 | Reference/source | Reference | Dugerdil, Lucas | |||
| 11 | Data source | Data source | Dugerdil, Lucas | Data Base |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
26579 data points
Data
| 1 Sample ID | 2 Lake | 3 Samp type | 4 Country | 5 Latitude | 6 Longitude | 7 pH | 8 DO [mg/l] | 9 Sal [mg/l] | 10 Reference | 11 Data source |
|---|---|---|---|---|---|---|---|---|---|---|
| Chen_2021 TW-1 | TW-1 | Soil | Tajikistan | 38.525200000 | 69.210566670 | Chen et al. (2021) | ACA | |||
| Chen_2021 TW-2 | TW-2 | Soil | Tajikistan | 38.528700000 | 69.278716670 | 8.23 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-3 | TW-3 | Soil | Tajikistan | 38.559916670 | 69.342850000 | 6.98 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-4 | TW-4 | Soil | Tajikistan | 38.580733330 | 69.401033330 | 8.19 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-5 | TW-5 | Soil | Tajikistan | 38.579100000 | 69.413450000 | 7.77 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-6 | TW-6 | Soil | Tajikistan | 38.730200000 | 70.363166670 | 7.20 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-7 | TW-7 | Soil | Tajikistan | 38.611100000 | 69.465966670 | 7.61 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-8 | TW-8 | Soil | Tajikistan | 38.737816670 | 70.606133330 | 7.99 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-9 | TW-9 | Soil | Tajikistan | 38.692150000 | 69.614600000 | 6.62 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-10 | TW-10 | Soil | Tajikistan | 38.739750000 | 70.633383330 | 7.45 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-11 | TW-11 | Soil | Tajikistan | 38.662300000 | 69.553650000 | 8.02 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-12 | TW-12 | Soil | Tajikistan | 38.710450000 | 70.655600000 | 7.76 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-13 | TW-13 | Soil | Tajikistan | 38.692683330 | 70.697883330 | 7.83 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-14 | TW-14 | Soil | Tajikistan | 38.691933330 | 70.713583330 | 7.93 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-15 | TW-15 | Soil | Tajikistan | 38.689350000 | 70.717883330 | 7.31 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-16 | TW-16 | Soil | Tajikistan | 38.680550000 | 70.720400000 | 7.38 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-17 | TW-17 | Soil | Tajikistan | 38.679050000 | 70.732650000 | 8.35 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-18 | TW-18 | Soil | Tajikistan | 38.671033330 | 70.737033330 | 7.69 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-19 | TW-19 | Soil | Tajikistan | 38.668866670 | 70.730366670 | 6.79 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-20 | TW-20 | Soil | Tajikistan | 38.662950000 | 70.726933330 | 7.13 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-21 | TW-21 | Soil | Tajikistan | 38.657066670 | 70.733400000 | 6.58 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-22 | TW-22 | Soil | Tajikistan | 38.649766670 | 70.731916670 | 7.01 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-23 | TW-23 | Soil | Tajikistan | 38.647000000 | 70.723800000 | 6.53 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-24 | TW-24 | Soil | Tajikistan | 38.651983330 | 70.716383330 | 7.37 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-25 | TW-25 | Soil | Tajikistan | 38.647433330 | 70.714966670 | 7.16 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-26 | TW-26 | Soil | Tajikistan | 38.639466670 | 70.718766670 | 6.51 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-27 | TW-27 | Soil | Tajikistan | 38.639600000 | 70.711683330 | 6.56 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-28 | TW-28 | Soil | Tajikistan | 38.631100000 | 70.717133330 | 7.19 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-1 | TE1-1 | Soil | Tajikistan | 37.508350000 | 71.596166670 | 7.08 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-2 | TE1-2 | Soil | Tajikistan | 37.541600000 | 71.703850000 | 6.41 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-3 | TE1-3 | Soil | Tajikistan | 37.619150000 | 71.758800000 | 6.65 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-4 | TE1-4 | Soil | Tajikistan | 37.690900000 | 71.864516670 | 8.88 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-5 | TE1-5 | Soil | Tajikistan | 37.698200000 | 71.936416670 | 7.07 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-6 | TE1-6 | Soil | Tajikistan | 37.729233330 | 72.065016670 | 7.34 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-7 | TE1-7 | Soil | Tajikistan | 37.742566670 | 72.109650000 | 7.43 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-8 | TE1-8 | Soil | Tajikistan | 37.698466670 | 72.209950000 | 6.58 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-9 | TE1-9 | Soil | Tajikistan | 37.717066670 | 72.297333330 | 5.95 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-10 | TE1-10 | Soil | Tajikistan | 37.699450000 | 72.396400000 | 7.12 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-11 | TE1-11 | Soil | Tajikistan | 37.699300000 | 72.445533330 | 7.33 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-12 | TE1-12 | Soil | Tajikistan | 37.674916670 | 72.496083330 | 7.22 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-13 | TE1-13 | Soil | Tajikistan | 37.638516670 | 72.539233330 | 7.09 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-14 | TE1-14 | Soil | Tajikistan | 37.573466670 | 72.598366670 | 7.07 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-15 | TE1-15 | Soil | Tajikistan | 37.559000000 | 72.655716670 | 7.10 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-16 | TE1-16 | Soil | Tajikistan | 37.528416670 | 72.678816670 | 6.85 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-17 | TE1-17 | Soil | Tajikistan | 37.493366670 | 72.701500000 | 7.47 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-18 | TE1-18 | Soil | Tajikistan | 37.489283330 | 72.734666670 | 7.84 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-19 | TE1-19 | Soil | Tajikistan | 37.488200000 | 72.750633330 | 7.04 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-20 | TE1-20 | Soil | Tajikistan | 37.467850000 | 72.758466670 | 6.99 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-1 | TE2-1 | Soil | Tajikistan | 37.655716670 | 72.520433330 | 7.15 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-2 | TE2-2 | Soil | Tajikistan | 37.559000000 | 72.655716670 | 6.62 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-3 | TE2-3 | Soil | Tajikistan | 37.528416670 | 72.678816670 | 7.16 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-4 | TE2-4 | Soil | Tajikistan | 37.493366670 | 72.701500000 | 7.61 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-5 | TE2-5 | Soil | Tajikistan | 37.477200000 | 72.762650000 | 6.86 | Chen et al. (2021) | ACA | ||
| Dearing Crampton-Flood 2020 ChinaP609 | ChinaP609 | Soil | Global BayMBT Soils | 32.430000000 | 83.220000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP622 | ChinaP622 | Soil | Global BayMBT Soils | 31.750000000 | 86.800000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP635 | ChinaP635 | Soil | Global BayMBT Soils | 31.510000000 | 89.150000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP642 | ChinaP642 | Soil | Global BayMBT Soils | 31.390000000 | 90.240000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP801 | ChinaP801 | Soil | Global BayMBT Soils | 33.730000000 | 92.100000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP751 | ChinaP751 | Soil | Global BayMBT Soils | 36.320000000 | 100.890000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP782 | ChinaP782 | Soil | Global BayMBT Soils | 36.860000000 | 101.020000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP784 | ChinaP784 | Soil | Global BayMBT Soils | 37.140000000 | 99.570000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP810 | ChinaP810 | Soil | Global BayMBT Soils | 31.070000000 | 91.690000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China41 | China41 | Soil | Global BayMBT Soils | 43.710000000 | 112.920000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China50 | China50 | Soil | Global BayMBT Soils | 45.430000000 | 119.720000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China51 | China51 | Soil | Global BayMBT Soils | 46.380000000 | 120.480000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China55 | China55 | Soil | Global BayMBT Soils | 48.490000000 | 117.160000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China61 | China61 | Soil | Global BayMBT Soils | 49.880000000 | 119.990000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 Russia - Turan | Russia - Turan | Soil | Global BayMBT Soils | 51.640000000 | 101.710000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Guo_2021 MS11_soil | MS11_soil | Soil | China, Inner Mong. | 49.330000000 | 119.970000000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS21_soil | MS21_soil | Soil | China, Inner Mong. | 49.050600000 | 119.543500000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS31_soil | MS31_soil | Soil | China, Inner Mong. | 49.617700000 | 119.791900000 | 7.80 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS41_soil | MS41_soil | Soil | China, Inner Mong. | 43.832300000 | 116.475200000 | 8.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS51_soil | MS51_soil | Soil | China, Inner Mong. | 44.636200000 | 117.760000000 | 8.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS61_soil | MS61_soil | Soil | China, Inner Mong. | 44.420600000 | 116.959500000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS71_soil | MS71_soil | Soil | China, Inner Mong. | 47.650600000 | 119.295800000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS81_soil | MS81_soil | Soil | China, Inner Mong. | 46.596800000 | 119.497400000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS11_soil | TS11_soil | Soil | China, Inner Mong. | 48.477900000 | 119.647600000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS21_soil | TS21_soil | Soil | China, Inner Mong. | 49.489200000 | 118.396600000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS31_soil | TS31_soil | Soil | China, Inner Mong. | 48.812500000 | 116.788200000 | 9.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS41_soil | TS41_soil | Soil | China, Inner Mong. | 48.757300000 | 118.704500000 | 8.40 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS51_soil | TS51_soil | Soil | China, Inner Mong. | 43.576700000 | 116.693400000 | 8.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS61_soil | TS61_soil | Soil | China, Inner Mong. | 43.925100000 | 116.287100000 | 8.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS71_soil | TS71_soil | Soil | China, Inner Mong. | 43.736500000 | 116.108400000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS81_soil | TS81_soil | Soil | China, Inner Mong. | 45.587900000 | 117.039800000 | 7.80 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS91_soil | TS91_soil | Soil | China, Inner Mong. | 48.601200000 | 116.628800000 | 8.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS101_soil | TS101_soil | Soil | China, Inner Mong. | 48.491700000 | 117.141000000 | 9.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS111_soil | TS111_soil | Soil | China, Inner Mong. | 46.266800000 | 118.542700000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS121_soil | TS121_soil | Soil | China, Inner Mong. | 45.409900000 | 116.907700000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS131_soil | TS131_soil | Soil | China, Inner Mong. | 44.078900000 | 115.907200000 | 9.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS141_soil | TS141_soil | Soil | China, Inner Mong. | 43.864500000 | 114.157600000 | 8.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS151_soil | TS151_soil | Soil | China, Inner Mong. | 41.503500000 | 108.829000000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS161_soil | TS161_soil | Soil | China, Inner Mong. | 42.087000000 | 112.162900000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS11_soil | DS11_soil | Soil | China, Inner Mong. | 41.516400000 | 110.686500000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS21_soil | DS21_soil | Soil | China, Inner Mong. | 41.822000000 | 108.545000000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS31_soil | DS31_soil | Soil | China, Inner Mong. | 39.756100000 | 108.643500000 | 9.40 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS41_soil | DS41_soil | Soil | China, Inner Mong. | 39.153800000 | 107.929100000 | 9.60 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS51_soil | DS51_soil | Soil | China, Inner Mong. | 41.742200000 | 111.790000000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS71_soil | DS71_soil | Soil | China, Inner Mong. | 43.296200000 | 112.262500000 | 9.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS81_soil | DS81_soil | Soil | China, Inner Mong. | 42.958900000 | 112.738100000 | 9.50 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS91_soil | DS91_soil | Soil | China, Inner Mong. | 43.325600000 | 113.074900000 | 9.50 | Guo et al. (2021) | ACA | ||
| IMS1 | IM1 | Soil | China, Inner Mong. | 48.251900000 | 118.418367000 | Li et al. (2017) | ACA | |||
| IMS2 | IM2 | Soil | China, Inner Mong. | 48.242617000 | 118.442733000 | Li et al. (2017) | ACA | |||
| IMS3 | IM3 | Soil | China, Inner Mong. | 48.313083000 | 118.536100000 | Li et al. (2017) | ACA | |||
| IMS4 | IM4 | Soil | China, Inner Mong. | 48.314167000 | 118.547867000 | Li et al. (2017) | ACA | |||
| IMS5 | IM5 | Soil | China, Inner Mong. | 48.248700000 | 118.464400000 | Li et al. (2017) | ACA | |||
| IMS6 | IM6 | Soil | China, Inner Mong. | 48.886900000 | 118.094217000 | Li et al. (2017) | ACA | |||
| IMS7 | IM7 | Soil | China, Inner Mong. | 48.278900000 | 117.655567000 | Li et al. (2017) | ACA | |||
| IMS8 | IM8 | Soil | China, Inner Mong. | 48.385500000 | 118.708983000 | Li et al. (2017) | ACA | |||
| IMS9 | IM9 | Soil | China, Inner Mong. | 48.378333000 | 118.821283000 | Li et al. (2017) | ACA | |||
| IMS10 | IM10 | Soil | China, Inner Mong. | 48.209850000 | 118.420617000 | Li et al. (2017) | ACA | |||
| IMS11 | IM11 | Soil | China, Inner Mong. | 48.178700000 | 118.434017000 | Li et al. (2017) | ACA | |||
| Naafs_2017_Soils_AES -1 | AES -1 | Soil | Global soils | 47.100000000 | 119.890000000 | 5.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_QML -1 | QML -1 | Soil | Global soils | 34.160000000 | 95.900000000 | 7.02 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_HY-1 | HY-1 | Soil | Global soils | 37.020000000 | 100.800000000 | 7.41 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_HYX-2 | HYX-2 | Soil | Global soils | 36.690000000 | 101.300000000 | 7.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_WLHT-2 | WLHT-2 | Soil | Global soils | 46.050000000 | 121.790000000 | 6.24 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ND-1 | ND-1 | Soil | Global soils | 29.250000000 | 91.680000000 | 7.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZD-1 | ZD-1 | Soil | Global soils | 33.770000000 | 95.660000000 | 7.30 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_TR-1 | TR-1 | Soil | Global soils | 35.550000000 | 102.030000000 | 7.67 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZGEQ-2 | ZGEQ-2 | Soil | Global soils | 39.870000000 | 111.180000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_KDE-3 | KDE-3 | Soil | Global soils | 49.940000000 | 121.430000000 | 6.13 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_NR-1 | NR-1 | Soil | Global soils | 32.090000000 | 92.270000000 | 6.35 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_FZ-2 | FZ-2 | Soil | Global soils | 40.450000000 | 113.190000000 | 7.30 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_LKZ-3 | LKZ-3 | Soil | Global soils | 29.060000000 | 90.390000000 | 6.10 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YKS-3 | YKS-3 | Soil | Global soils | 49.330000000 | 120.970000000 | 6.57 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_RYZ-2 | RYZ-2 | Soil | Global soils | 29.330000000 | 88.980000000 | 7.56 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YZ-2 | YZ-2 | Soil | Global soils | 35.780000000 | 104.050000000 | 7.17 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YZ-3 | YZ-3 | Soil | Global soils | 35.780000000 | 104.050000000 | 7.08 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZL-3 | ZL-3 | Soil | Global soils | 29.290000000 | 91.150000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_LX-1 | LX-1 | Soil | Global soils | 43.440000000 | 120.080000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZLT-2 | ZLT-2 | Soil | Global soils | 44.610000000 | 120.970000000 | 7.52 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_TD-3 | TD-3 | Soil | Global soils | 35.270000000 | 100.640000000 | 7.83 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P756 | P756 | Soil | Global soils | 35.350000000 | 100.930000000 | 7.75 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P760 | P760 | Soil | Global soils | 34.540000000 | 100.220000000 | 7.50 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P765 | P765 | Soil | Global soils | 33.030000000 | 96.920000000 | 7.63 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P773 | P773 | Soil | Global soils | 33.950000000 | 95.700000000 | 7.14 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P775 | P775 | Soil | Global soils | 34.100000000 | 96.200000000 | 7.18 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P782 | P782 | Soil | Global soils | 36.860000000 | 101.020000000 | 7.81 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P787 | P787 | Soil | Global soils | 37.280000000 | 98.390000000 | 7.98 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P796 | P796 | Soil | Global soils | 35.130000000 | 93.040000000 | 8.04 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P801 | P801 | Soil | Global soils | 33.730000000 | 92.100000000 | 7.66 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P802 | P802 | Soil | Global soils | 33.320000000 | 91.880000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P804 | P804 | Soil | Global soils | 32.190000000 | 91.680000000 | 7.67 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P816 | P816 | Soil | Global soils | 29.280000000 | 90.640000000 | 7.81 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P817 | P817 | Soil | Global soils | 29.190000000 | 90.620000000 | 6.52 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P818 | P818 | Soil | Global soils | 29.200000000 | 90.620000000 | 6.74 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P819 | P819 | Soil | Global soils | 29.210000000 | 90.640000000 | 6.46 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P820 | P820 | Soil | Global soils | 29.220000000 | 90.630000000 | 6.87 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P821 | P821 | Soil | Global soils | 29.230000000 | 90.630000000 | 7.09 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P831 | P831 | Soil | Global soils | 28.240000000 | 88.770000000 | 7.86 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P833 | P833 | Soil | Global soils | 28.260000000 | 87.790000000 | 8.37 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P848 | P848 | Soil | Global soils | 29.550000000 | 84.640000000 | 8.13 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P851 | P851 | Soil | Global soils | 29.440000000 | 85.670000000 | 7.15 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P858 | P858 | Soil | Global soils | 29.900000000 | 90.130000000 | 6.77 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P859 | P859 | Soil | Global soils | 29.890000000 | 90.120000000 | 6.36 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P860 | P860 | Soil | Global soils | 29.870000000 | 90.120000000 | 6.22 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P861 | P861 | Soil | Global soils | 29.840000000 | 90.060000000 | 6.58 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P862 | P862 | Soil | Global soils | 29.800000000 | 90.030000000 | 6.27 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P863 | P863 | Soil | Global soils | 29.710000000 | 89.960000000 | 6.76 | Naafs et al. (2017a) | ACA | ||
| Wang_2020_46 | 46 | Soil | China | 39.081011110 | 90.193839440 | 7.82 | Wang et al. (2020) | ACA | ||
| Wang_2020_47 | 47 | Soil | China | 39.081011110 | 90.193839440 | 7.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_48 | 48 | Soil | China | 39.081011110 | 90.193839440 | 7.99 | Wang et al. (2020) | ACA | ||
| Wang_2020_49 | 49 | Soil | China | 38.964784720 | 90.170563890 | 7.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_50 | 50 | Soil | China | 38.964784720 | 90.170563890 | 7.79 | Wang et al. (2020) | ACA | ||
| Wang_2020_51 | 51 | Soil | China | 38.964784720 | 90.170563890 | 7.99 | Wang et al. (2020) | ACA | ||
| Wang_2020_52 | 52 | Soil | China | 38.878676110 | 90.228152780 | 8.41 | Wang et al. (2020) | ACA | ||
| Wang_2020_53 | 53 | Soil | China | 38.878676110 | 90.228152780 | 8.18 | Wang et al. (2020) | ACA | ||
| Wang_2020_54 | 54 | Soil | China | 38.878676110 | 90.228152780 | 8.07 | Wang et al. (2020) | ACA | ||
| Wang_2020_55 | 55 | Soil | China | 37.457126390 | 95.972617220 | 8.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_56 | 56 | Soil | China | 37.457126390 | 95.972617220 | 8.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_57 | 57 | Soil | China | 37.457126390 | 95.972617220 | 7.88 | Wang et al. (2020) | ACA | ||
| Wang_2020_58 | 58 | Soil | China | 37.121909440 | 97.596235000 | 8.35 | Wang et al. (2020) | ACA | ||
| Wang_2020_59 | 59 | Soil | China | 37.121909440 | 97.596235000 | 9.28 | Wang et al. (2020) | ACA | ||
| Wang_2020_60 | 60 | Soil | China | 37.121909440 | 97.596235000 | 8.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_61 | 61 | Soil | China | 36.751234440 | 99.609481940 | 7.71 | Wang et al. (2020) | ACA | ||
| Wang_2020_62 | 62 | Soil | China | 36.751234440 | 99.609481940 | 7.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_63 | 63 | Soil | China | 36.751234440 | 99.609481940 | 7.64 | Wang et al. (2020) | ACA | ||
| Wang_2020_64 | 64 | Soil | China | 36.778773610 | 99.677853060 | 7.89 | Wang et al. (2020) | ACA | ||
| Wang_2020_65 | 65 | Soil | China | 36.778773610 | 99.677853060 | 7.87 | Wang et al. (2020) | ACA | ||
| Wang_2020_66 | 66 | Soil | China | 36.778773610 | 99.677853060 | 7.64 | Wang et al. (2020) | ACA | ||
| Wang_2020_82 | 82 | Soil | China | 43.296341670 | 118.403058300 | 7.78 | Wang et al. (2020) | ACA | ||
| Wang_2020_83 | 83 | Soil | China | 43.296341670 | 118.403058300 | 7.72 | Wang et al. (2020) | ACA | ||
| Wang_2020_84 | 84 | Soil | China | 43.296341670 | 118.403058300 | 7.73 | Wang et al. (2020) | ACA | ||
| Wang_2020_85 | 85 | Soil | China | 44.364256390 | 120.521557200 | 7.74 | Wang et al. (2020) | ACA | ||
| Wang_2020_86 | 86 | Soil | China | 44.364256390 | 120.521557200 | 7.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_87 | 87 | Soil | China | 44.364256390 | 120.521557200 | 7.65 | Wang et al. (2020) | ACA | ||
| Wang_2020_88 | 88 | Soil | China | 45.157871940 | 121.567961100 | 6.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_89 | 89 | Soil | China | 45.157871940 | 121.567961100 | 6.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_90 | 90 | Soil | China | 45.157871940 | 121.567961100 | 6.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_91 | 91 | Soil | China | 46.378077780 | 122.435468900 | 6.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_92 | 92 | Soil | China | 46.378077780 | 122.435468900 | 6.08 | Wang et al. (2020) | ACA | ||
| Wang_2020_93 | 93 | Soil | China | 46.378077780 | 122.435468900 | 6.19 | Wang et al. (2020) | ACA | ||
| Wang_2020_94 | 94 | Soil | China | 49.526392780 | 119.703854700 | 6.47 | Wang et al. (2020) | ACA | ||
| Wang_2020_95 | 95 | Soil | China | 49.526392780 | 119.703854700 | 6.45 | Wang et al. (2020) | ACA | ||
| Wang_2020_96 | 96 | Soil | China | 49.526392780 | 119.703854700 | 6.28 | Wang et al. (2020) | ACA | ||
| Wang_2020_97 | 97 | Soil | China | 50.179868890 | 120.150560300 | 6.39 | Wang et al. (2020) | ACA | ||
| Wang_2020_98 | 98 | Soil | China | 50.179868890 | 120.150560300 | 6.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_99 | 99 | Soil | China | 50.179868890 | 120.150560300 | 6.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_100 | 100 | Soil | China | 51.808831110 | 121.861088300 | 5.32 | Wang et al. (2020) | ACA | ||
| Wang_2020_101 | 101 | Soil | China | 51.808831110 | 121.861088300 | 4.15 | Wang et al. (2020) | ACA | ||
| Wang_2020_102 | 102 | Soil | China | 51.808831110 | 121.861088300 | 4.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_103 | 103 | Soil | China | 51.148271670 | 121.288802500 | 4.03 | Wang et al. (2020) | ACA | ||
| Wang_2020_104 | 104 | Soil | China | 51.148271670 | 121.288802500 | 4.59 | Wang et al. (2020) | ACA | ||
| Wang_2020_105 | 105 | Soil | China | 51.148271670 | 121.288802500 | 4.54 | Wang et al. (2020) | ACA | ||
| Wang_2020_106 | 106 | Soil | China | 50.691238610 | 121.331435000 | 6.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_107 | 107 | Soil | China | 50.691238610 | 121.331435000 | 6.35 | Wang et al. (2020) | ACA | ||
| Wang_2020_108 | 108 | Soil | China | 50.691238610 | 121.331435000 | 6.29 | Wang et al. (2020) | ACA | ||
| Wang_2020_109 | 109 | Soil | China | 48.316948060 | 119.774863600 | 6.40 | Wang et al. (2020) | ACA | ||
| Wang_2020_110 | 110 | Soil | China | 48.316948060 | 119.774863600 | 6.30 | Wang et al. (2020) | ACA | ||
| Wang_2020_111 | 111 | Soil | China | 48.316948060 | 119.774863600 | 6.31 | Wang et al. (2020) | ACA | ||
| Wang_2020_112 | 112 | Soil | China | 47.525306390 | 119.423381100 | 6.57 | Wang et al. (2020) | ACA | ||
| Wang_2020_113 | 113 | Soil | China | 47.525306390 | 119.423381100 | 6.62 | Wang et al. (2020) | ACA | ||
| Wang_2020_114 | 114 | Soil | China | 47.525306390 | 119.423381100 | 6.69 | Wang et al. (2020) | ACA | ||
| Wang_2020_115 | 115 | Soil | China | 46.894409720 | 119.962886700 | 6.68 | Wang et al. (2020) | ACA | ||
| Wang_2020_116 | 116 | Soil | China | 46.894409720 | 119.962886700 | 6.56 | Wang et al. (2020) | ACA | ||
| Wang_2020_117 | 117 | Soil | China | 46.894409720 | 119.962886700 | 6.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_118 | 118 | Soil | China | 35.786860000 | 104.303316700 | 8.02 | Wang et al. (2020) | ACA | ||
| Wang_2020_119 | 119 | Soil | China | 35.786860000 | 104.303316700 | 7.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_120 | 120 | Soil | China | 35.786860000 | 104.303316700 | 8.26 | Wang et al. (2020) | ACA | ||
| Wang_2020_121 | 121 | Soil | China | 36.490564720 | 103.399575600 | 8.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_122 | 122 | Soil | China | 36.490564720 | 103.399575600 | 8.53 | Wang et al. (2020) | ACA | ||
| Wang_2020_123 | 123 | Soil | China | 36.490564720 | 103.399575600 | 8.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_130 | 130 | Soil | China | 40.153971670 | 106.901275300 | 8.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_131 | 131 | Soil | China | 40.153971670 | 106.901275300 | 8.54 | Wang et al. (2020) | ACA | ||
| Wang_2020_132 | 132 | Soil | China | 40.153971670 | 106.901275300 | 8.40 | Wang et al. (2020) | ACA | ||
| Wang_2020_133 | 133 | Soil | China | 41.309828610 | 108.425150800 | 8.70 | Wang et al. (2020) | ACA | ||
| Wang_2020_134 | 134 | Soil | China | 41.309828610 | 108.425150800 | 8.63 | Wang et al. (2020) | ACA | ||
| Wang_2020_135 | 135 | Soil | China | 41.309828610 | 108.425150800 | 8.55 | Wang et al. (2020) | ACA | ||
| Wang_2020_136 | 136 | Soil | China | 41.409839170 | 109.963165000 | 8.10 | Wang et al. (2020) | ACA | ||
| Wang_2020_137 | 137 | Soil | China | 41.409839170 | 109.963165000 | 8.14 | Wang et al. (2020) | ACA | ||
| Wang_2020_138 | 138 | Soil | China | 41.409839170 | 109.963165000 | 7.87 | Wang et al. (2020) | ACA | ||
| Wang_2020_139 | 139 | Soil | China | 39.927900280 | 109.981856900 | 8.14 | Wang et al. (2020) | ACA | ||
| Wang_2020_140 | 140 | Soil | China | 39.927900280 | 109.981856900 | 8.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_141 | 141 | Soil | China | 39.927900280 | 109.981856900 | 8.01 | Wang et al. (2020) | ACA | ||
| Wang_2021 Mt. Laji Site 1 | Mt. Laji Site 1 | Soil | China | 36.359555560 | 101.443555600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 2 | Mt. Laji Site 2 | Soil | China | 36.358694440 | 101.444666700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 3 | Mt. Laji Site 3 | Soil | China | 36.357638890 | 101.444805600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 4 | Mt. Laji Site 4 | Soil | China | 36.346472220 | 101.441000000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 5 | Mt. Laji Site 5 | Soil | China | 36.334333330 | 101.466277800 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 6 | Mt. Laji Site 6 | Soil | China | 36.321555560 | 101.497305600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 7 | Mt. Laji Site 7 | Soil | China | 36.318138890 | 101.510916700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 8 | Mt. Laji Site 8 | Soil | China | 36.311666670 | 101.518250000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 9 | Mt. Laji Site 9 | Soil | China | 36.300277780 | 101.537777800 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 10 | Mt. Laji Site 10 | Soil | China | 36.275833330 | 101.548888900 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 11 | Mt. Laji Site 11 | Soil | China | 36.246444440 | 101.558083300 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 12 | Mt. Laji Site 12 | Soil | China | 36.206472220 | 101.560361100 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 13 | Mt. Laji Site 13 | Soil | China | 36.173694440 | 101.585444400 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 14 | Mt. Laji Site 14 | Soil | China | 36.368277780 | 101.479416700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 15 | Mt. Laji Site 15 | Soil | China | 36.378833330 | 101.510250000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 16 | Mt. Laji Site 16 | Soil | China | 36.394583330 | 101.564416700 | Wang et Liu (2021) | ACA | |||
| Zang_2018 TLF-01 | TLF-01 | Soil | China | 42.915277780 | 89.217222220 | 7.81 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-02 | TLF-02 | Soil | China | 42.890555560 | 89.247500000 | 7.99 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-03 | TLF-03 | Soil | China | 42.890555560 | 89.247500000 | 8.18 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-04 | TLF-04 | Soil | China | 42.691666670 | 89.255277780 | 8.04 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-07 | TLF-07 | Soil | China | 42.917777780 | 89.509722220 | 8.01 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-08 | TLF-08 | Soil | China | 42.917777780 | 89.509722220 | 7.96 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-09 | TLF-09 | Soil | China | 42.976388890 | 89.225555560 | 7.74 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-10 | TLF-10 | Soil | China | 42.976388890 | 89.225555560 | 7.58 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-11 | TLF-11 | Soil | China | 42.976388890 | 89.225555560 | 7.61 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-12 | TLF-12 | Soil | China | 42.979166670 | 89.127500000 | 7.81 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-13 | TLF-13 | Soil | China | 42.979166670 | 89.127500000 | 7.87 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-14 | TLF-14 | Soil | China | 42.979166670 | 89.127500000 | 7.84 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-15 | TLF-15 | Soil | China | 42.945833330 | 89.069166670 | 7.88 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-16 | TLF-16 | Soil | China | 42.945833330 | 89.069166670 | 7.92 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-18 | TLF-18 | Soil | China | 42.944444440 | 89.075833330 | 7.98 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-19 | TLF-19 | Soil | China | 42.944444440 | 89.075833330 | 7.86 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-20 | TLF-20 | Soil | China | 42.944444440 | 89.075833330 | 7.51 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-21 | TLF-21 | Soil | China | 42.954722220 | 89.185277780 | 7.17 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-22 | TLF-22 | Soil | China | 42.954722220 | 89.185277780 | 7.59 | Zang et al. (2018) | ACA | ||
| Dang_2018_1_2_avg | Namtso avg | Lacustrine | China | 30.750000000 | 90.550000000 | 9.50 | Dang et al. (2018) | ACA | ||
| Dang_2018_3 | Lake Hulun | Lacustrine | China | 48.950000000 | 117.390000000 | 1.47E003 | Dang et al. (2018) | ACA | ||
| Dang_2018_4_5_avg | Lake Qinghai avg | Lacustrine | China | 36.795000000 | 100.310000000 | 9.05 | Dang et al. (2018) | ACA | ||
| Dang_2018_10_11_12_avg | Daihai avg | Lacustrine | China | 40.583333330 | 112.660000000 | 9.00 | Dang et al. (2018) | ACA | ||
| Dang_2018_14 | Wuliangsuhai | Lacustrine | China | 40.870000000 | 108.780000000 | 8.70 | 2.99E003 | Dang et al. (2018) | ACA | |
| De_Jonge_2015_Baikal Baikal_S1 | Baikal | Lacustrine | Russia, Baikal | 52.278500000 | 106.244400000 | 8.10 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_S3 | Baikal | Lacustrine | Russia, Baikal | 52.290300000 | 106.222600000 | 8.10 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_S5 | Baikal | Lacustrine | Russia, Baikal | 52.303100000 | 106.199800000 | 8.00 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B1 | Baikal | Lacustrine | Russia, Baikal | 52.278500000 | 106.244400000 | 7.90 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B3 | Baikal | Lacustrine | Russia, Baikal | 52.290300000 | 106.222600000 | 7.90 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B5 | Baikal | Lacustrine | Russia, Baikal | 52.303100000 | 106.199800000 | 8.00 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_Ba | Baikal | Lacustrine | Russia, Baikal | 51.891900000 | 104.823300000 | 8.80 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_MIR | Baikal | Lacustrine | Russia, Baikal | 51.945300000 | 100.788400000 | 5.60 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| Duan_2021 TOP43 | TOP43 | Soil | Northern Iran | 37.324952780 | 55.479752780 | 8.15 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP42 | TOP42 | Soil | Northern Iran | 37.332280560 | 55.483941670 | 8.18 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP41 | TOP41 | Soil | Northern Iran | 37.339147220 | 55.488000000 | 7.99 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP44 | TOP44 | Soil | Northern Iran | 37.315216670 | 55.473530560 | 8.09 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP45 | TOP45 | Soil | Northern Iran | 37.308819440 | 55.470441670 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 IR14-S9-T | IR14-S9-T | Soil | Northern Iran | 37.638250000 | 55.149466670 | 8.71 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP26 | TOP26 | Soil | Northern Iran | 37.485736110 | 55.514661110 | 8.23 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP48 | TOP48 | Soil | Northern Iran | 37.282550000 | 55.442380560 | 8.12 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP46 | TOP46 | Soil | Northern Iran | 37.298522220 | 55.461955560 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP30 | TOP30 | Soil | Northern Iran | 37.438794440 | 55.497352780 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP39 | TOP39 | Soil | Northern Iran | 37.369416670 | 55.506138890 | 8.30 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP27 | TOP27 | Soil | Northern Iran | 37.479091670 | 55.514147220 | 8.40 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP7 | TOP7 | Soil | Northern Iran | 37.790000000 | 55.940000000 | 8.53 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP29 | TOP29 | Soil | Northern Iran | 37.451697220 | 55.507427780 | 8.14 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP25 | TOP25 | Soil | Northern Iran | 37.505155560 | 55.536327780 | 8.27 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP37 | TOP37 | Soil | Northern Iran | 37.392075000 | 55.501944440 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP32 | TOP32 | Soil | Northern Iran | 37.425450000 | 55.494100000 | 8.22 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP52 | TOP52 | Soil | Northern Iran | 37.261033330 | 55.428791670 | 8.35 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP36 | TOP36 | Soil | Northern Iran | 37.398533330 | 55.504372220 | 7.95 | Duan et al. (2021) | ACA | ||
| Duan_2021 IR14-S4-T | IR14-S4-T | Soil | Northern Iran | 37.751783330 | 55.256566670 | 8.77 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP24 | TOP24 | Soil | Northern Iran | 37.526144440 | 55.558869440 | 8.26 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP33 | TOP33 | Soil | Northern Iran | 37.418419440 | 55.493319440 | 8.44 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP28 | TOP28 | Soil | Northern Iran | 37.465572220 | 55.521069440 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP38 | TOP38 | Soil | Northern Iran | 37.377288890 | 55.510622220 | 7.99 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP35 | TOP35 | Soil | Northern Iran | 37.402594440 | 55.499516670 | 8.19 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP34 | TOP34 | Soil | Northern Iran | 37.412708330 | 55.492811110 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP20 | TOP20 | Soil | Northern Iran | 37.581313890 | 55.628361110 | 8.09 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP49 | TOP49 | Soil | Northern Iran | 37.253377780 | 55.460380560 | 7.86 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP19 | TOP19 | Soil | Northern Iran | 37.599577780 | 55.642166670 | 7.84 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP23 | TOP23 | Soil | Northern Iran | 37.540547220 | 55.590183330 | 8.31 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP18 | TOP18 | Soil | Northern Iran | 37.608736110 | 55.652208330 | 8.12 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP1 | TOP1 | Soil | Northern Iran | 37.890869440 | 55.957491670 | 8.20 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP22 | TOP22 | Soil | Northern Iran | 37.554866670 | 55.623561110 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP2 | TOP2 | Soil | Northern Iran | 37.885147220 | 55.962916670 | 8.13 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP21 | TOP21 | Soil | Northern Iran | 37.568633330 | 55.629402780 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP17 | TOP17 | Soil | Northern Iran | 37.623447220 | 55.686411110 | 8.18 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP165 | TOP165 | Soil | Northern Iran | 37.634641670 | 55.701136110 | 8.08 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP4 | TOP4 | Soil | Northern Iran | 37.842483330 | 55.952763890 | 7.87 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP3 | TOP3 | Soil | Northern Iran | 37.863408330 | 55.963386110 | 8.37 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP16 | TOP16 | Soil | Northern Iran | 37.648116670 | 55.706950000 | 8.22 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP15 | TOP15 | Soil | Northern Iran | 37.656136110 | 55.733361110 | 8.34 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP13 | TOP13 | Soil | Northern Iran | 37.687347220 | 55.749213890 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP5 | TOP5 | Soil | Northern Iran | 37.823980560 | 55.952075000 | 8.27 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP50 | TOP50 | Soil | Northern Iran | 37.246272220 | 55.506716670 | 7.56 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP12 | TOP12 | Soil | Northern Iran | 37.703536110 | 55.791286110 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP11 | TOP11 | Soil | Northern Iran | 37.720469440 | 55.851044440 | 8.20 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP9 | TOP9 | Soil | Northern Iran | 37.742238890 | 55.904913890 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP8 | TOP8 | Soil | Northern Iran | 37.770861110 | 55.938063890 | 8.11 | Duan et al. (2021) | ACA | ||
| Duan_2020 MS1-1 | MS1-1 | Soil | China, Tian Shan | 44.300000000 | 84.900000000 | 8.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS2-1 | MS2-1 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 7.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS2-2 | MS2-2 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 7.40 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS3-1 | MS3-1 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS3-2 | MS3-2 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS4-1 | MS4-1 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 6.80 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS4-2 | MS4-2 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 7.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS5-1 | MS5-1 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS6-1 | MS6-1 | Soil | China, Tian Shan | 43.900000000 | 84.500000000 | 7.10 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS6-2 | MS6-2 | Soil | China, Tian Shan | 43.900000000 | 84.500000000 | 7.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS7-1 | MS7-1 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 7.00 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS8-1 | MS8-1 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 6.60 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS8-2 | MS8-2 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 6.40 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS9-1 | MS9-1 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 6.60 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS9-2 | MS9-2 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 6.70 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS10-1 | MS10-1 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 5.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS10-2 | MS10-2 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 5.50 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS11-1 | MS11-1 | Soil | China, Tian Shan | 43.700000000 | 84.400000000 | 5.90 | Duan et al. (2020) | ACA | ||
| Kou_2022 YZY11-1S | YZY11-1S | Soil | China, Tibet | 29.167500000 | 90.517500000 | Kou et al. (2022) | ACA | |||
| Kou_2022 YZY11-2S | YZY11-2S | Soil | China, Tibet | 28.776388890 | 90.603888890 | Kou et al. (2022) | ACA | |||
| Kou_2022 PMY11S | PMY11S | Soil | China, Tibet | 28.594166670 | 90.501944440 | Kou et al. (2022) | ACA | |||
| Kou_2022 LC12S | LC12S | Soil | China, Tibet | 29.210350000 | 87.415600000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZX12S | ZX12S | Soil | China, Tibet | 33.106910000 | 80.162350000 | Kou et al. (2022) | ACA | |||
| Kou_2022 DZ12S | DZ12S | Soil | China, Tibet | 31.821610000 | 87.552130000 | Kou et al. (2022) | ACA | |||
| Kou_2022 CE12S | CE12S | Soil | China, Tibet | 31.686280000 | 88.711790000 | Kou et al. (2022) | ACA | |||
| Kou_2022 GM12S | GM12S | Soil | China, Tibet | 31.564540000 | 87.350100000 | Kou et al. (2022) | ACA | |||
| Kou_2022 LG12S | LG12S | Soil | China, Tibet | 32.075740000 | 84.188180000 | Kou et al. (2022) | ACA | |||
| Kou_2022 KKXL19S | KKXL19S | Soil | China, Tibet | 35.692812000 | 91.223024000 | Kou et al. (2022) | ACA | |||
| Kou_2022 TY19S | TY19S | Soil | China, Tibet | 35.943157000 | 90.814139000 | Kou et al. (2022) | ACA | |||
| Kou_2022 XJ19S | XJ19S | Soil | China, Tibet | 35.139241000 | 90.145732000 | Kou et al. (2022) | ACA | |||
| Kou_2022 TLS19S | TLS19S | Soil | China, Tibet | 34.852667000 | 92.143975000 | Kou et al. (2022) | ACA | |||
| Kou_2022 LXWD19S | LXWD19S | Soil | China, Tibet | 35.752624000 | 90.378540000 | Kou et al. (2022) | ACA | |||
| Kou_2022 WLWL19S | WLWL19S | Soil | China, Tibet | 34.932248000 | 90.736803000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZN19S | ZN19S | Soil | China, Tibet | 35.501647000 | 92.017930000 | Kou et al. (2022) | ACA | |||
| Kou_2022 PY20S | PY20S | Soil | China, Tibet | 32.936142000 | 88.227542000 | Kou et al. (2022) | ACA | |||
| Kou_2022 YBCK20S | YBCK20S | Soil | China, Tibet | 32.918286000 | 86.669099000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZGT20S | ZGT20S | Soil | China, Tibet | 32.021569000 | 90.842366000 | Kou et al. (2022) | ACA | |||
| Kou_2022 AY20S | AY20S | Soil | China, Tibet | 37.471033000 | 89.936051000 | Kou et al. (2022) | ACA | |||
| Kou_2022 JY20S | JY20S | Soil | China, Tibet | 36.463684000 | 89.258732000 | Kou et al. (2022) | ACA | |||
| Kou_2022 AQ20S | AQ20S | Soil | China, Tibet | 37.153964000 | 88.560561000 | Kou et al. (2022) | ACA | |||
| Kou_2022 Tangra Yumco | Tangra Yumco | Lacustrine | China, Tibet | 31.266170000 | 86.642620000 | 9.29 | 7.310 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_2 | Tangra Yumco | Lacustrine | China, Tibet | 31.259690000 | 86.638680000 | 9.29 | 7.310 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_3 | Tangra Yumco | Lacustrine | China, Tibet | 31.368270000 | 86.664390000 | 9.29 | 7.160 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_4 | Tangra Yumco | Lacustrine | China, Tibet | 31.339690000 | 86.656720000 | 9.29 | 7.320 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_5 | Tangra Yumco | Lacustrine | China, Tibet | 31.270090000 | 86.650660000 | 9.29 | 7.300 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_6 | Tangra Yumco | Lacustrine | China, Tibet | 31.350000000 | 86.720000000 | 9.34 | 7.300 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco | Zhari Namco | Lacustrine | China, Tibet | 30.888190000 | 85.626361110 | 9.90 | 2.000 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco_2 | Zhari Namco | Lacustrine | China, Tibet | 30.889500000 | 85.477388890 | 9.90 | 11.300 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco_3 | Zhari Namco | Lacustrine | China, Tibet | 30.921110000 | 85.402940000 | 9.90 | 10.100 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Puma Yumco | Puma Yumco | Lacustrine | China, Tibet | 28.607910000 | 90.300950000 | 9.05 | 11.000 | 2.63E002 | Kou et al. (2022) | ACA |
| Kou_2022 Puma Yumco_2 | Puma Yumco | Lacustrine | China, Tibet | 28.615610000 | 90.450580000 | 9.05 | 11.000 | 2.63E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake | Taruo Lake | Lacustrine | China, Tibet | 31.119530000 | 84.280200000 | 8.78 | 8.960 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake_2 | Taruo Lake | Lacustrine | China, Tibet | 31.140240000 | 84.209440000 | 8.78 | 9.200 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake_3 | Taruo Lake | Lacustrine | China, Tibet | 31.139880000 | 84.059160000 | 8.78 | 9.300 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co | Nam Co | Lacustrine | China, Tibet | 30.673680000 | 90.704290000 | 9.09 | 7.080 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co_2 | Nam Co | Lacustrine | China, Tibet | 30.847250000 | 90.925240000 | 9.09 | 7.060 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co_3 | Nam Co | Lacustrine | China, Tibet | 30.779610000 | 90.659590000 | 9.09 | 7.080 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Lang Co | Lang Co | Lacustrine | China, Tibet | 29.206823870 | 87.405032750 | 9.35 | 5.610 | 1.82E003 | Kou et al. (2022) | ACA |
| Kou_2022 Angrenjin Co | Angrenjin Co | Lacustrine | China, Tibet | 29.312851890 | 87.197704590 | 9.51 | 3.310 | 4.92E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dajiamang Co | Dajiamang Co | Lacustrine | China, Tibet | 29.673651020 | 85.733379820 | 6.060 | 1.51E002 | Kou et al. (2022) | ACA | |
| Kou_2022 Bangong Lake | Bangong Lake | Lacustrine | China, Tibet | 33.528011260 | 79.834800410 | 9.20 | 6.590 | 5.89E002 | Kou et al. (2022) | ACA |
| Kou_2022 Songmuxi Co | Songmuxi Co | Lacustrine | China, Tibet | 34.596258350 | 80.232002110 | 8.47 | 5.820 | 3.56E002 | Kou et al. (2022) | ACA |
| Kou_2022 Zongxiong Co | Zongxiong Co | Lacustrine | China, Tibet | 33.103243170 | 80.161040130 | 9.30 | 6.400 | 1.75E002 | Kou et al. (2022) | ACA |
| Kou_2022 Rebang Co | Rebang Co | Lacustrine | China, Tibet | 33.037687170 | 80.513834270 | 9.35 | 5.050 | 5.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 A'ong Co | A'ong Co | Lacustrine | China, Tibet | 32.750197780 | 81.742594440 | 9.20 | 4.800 | 4.60E004 | Kou et al. (2022) | ACA |
| Kou_2022 Bero Zeco | Bero Zeco | Lacustrine | China, Tibet | 32.423310300 | 82.955348990 | 8.97 | 4.900 | 7.46E004 | Kou et al. (2022) | ACA |
| Kou_2022 Darebu Co | Darebu Co | Lacustrine | China, Tibet | 32.469909550 | 83.202601450 | 9.35 | 7.500 | 1.70E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dawa Lake | Dawa Lake | Lacustrine | China, Tibet | 31.247538870 | 85.054601810 | 9.18 | 5.520 | 2.43E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dibu Co | Dibu Co | Lacustrine | China, Tibet | 30.803578330 | 84.826801200 | 9.63 | 4.980 | 2.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dibu Co_2 | Dibu Co | Lacustrine | China, Tibet | 30.819000000 | 84.828000000 | 9.63 | 5.530 | 2.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Qige Co | Qige Co | Lacustrine | China, Tibet | 31.195711520 | 85.517299270 | 10.47 | 7.010 | 1.90E002 | Kou et al. (2022) | ACA |
| Kou_2022 Caiji Co | Caiji Co | Lacustrine | China, Tibet | 31.199686790 | 85.448204680 | 9.30 | 5.590 | 4.38E003 | Kou et al. (2022) | ACA |
| Kou_2022 Zhangnai Co | Zhangnai Co | Lacustrine | China, Tibet | 31.546739750 | 87.385213010 | 9.60 | 5.470 | 4.96E003 | Kou et al. (2022) | ACA |
| Kou_2022 Gemang Co | Gemang Co | Lacustrine | China, Tibet | 31.575578490 | 87.308509680 | 9.90 | 5.860 | 9.87E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dagze Lake | Dagze Lake | Lacustrine | China, Tibet | 31.865868480 | 87.555375150 | 9.96 | 3.090 | 2.20E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Jargo | Lake Jargo | Lacustrine | China, Tibet | 31.857326430 | 88.300045070 | 9.08 | 6.220 | 2.90E002 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Jargo_2 | Lake Jargo | Lacustrine | China, Tibet | 31.820940000 | 88.221239000 | 9.48 | 5.900 | 3.03E002 | Kou et al. (2022) | ACA |
| Kou_2022 Longwe Lake | Longwe Lake | Lacustrine | China, Tibet | 33.856160000 | 88.321140000 | 8.25 | 5.700 | 1.89E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dogaicorng Qangco | Dogaicorng Qangco | Lacustrine | China, Tibet | 35.325970000 | 89.232680000 | 8.80 | 0.600 | 5.99E004 | Kou et al. (2022) | ACA |
| Kou_2022 Daxiong Lake | Daxiong Lake | Lacustrine | China, Tibet | 34.028801000 | 85.608589000 | 9.20 | 8.200 | 2.15E004 | Kou et al. (2022) | ACA |
| Kou_2022 Burog Co | Burog Co | Lacustrine | China, Tibet | 34.417000000 | 85.779000000 | 9.30 | 1.600 | 8.46E003 | Kou et al. (2022) | ACA |
| Kou_2022 Mang Co (Mangkang) | Mang Co (Mangkang) | Lacustrine | China, Tibet | 29.527050000 | 98.835990000 | 8.20 | 11.700 | 1.30E002 | Kou et al. (2022) | ACA |
| Kou_2022 Bangda Lake | Bangda Lake | Lacustrine | China, Tibet | 34.960733000 | 81.592933000 | 8.38 | 3.370 | 7.43E004 | Kou et al. (2022) | ACA |
| Kou_2022 Longmu Lake | Longmu Lake | Lacustrine | China, Tibet | 34.602306000 | 80.420280000 | 7.88 | 5.400 | 1.33E005 | Kou et al. (2022) | ACA |
| Kou_2022 Mang Co | Mang Co | Lacustrine | China, Tibet | 34.509000000 | 80.447000000 | 8.28 | 4.200 | 8.27E004 | Kou et al. (2022) | ACA |
| Kou_2022 Aksai Chin Lake | Aksai Chin Lake | Lacustrine | China, Tibet | 35.171430000 | 79.828370000 | 8.57 | 0.800 | 5.08E004 | Kou et al. (2022) | ACA |
| Kou_2022 Gozha Co | Gozha Co | Lacustrine | China, Tibet | 35.022273000 | 81.060348000 | 9.00 | 7.110 | 5.66E003 | Kou et al. (2022) | ACA |
| Kou_2022 Xinxing Lake | Xinxing Lake | Lacustrine | China, Tibet | 34.786400000 | 80.751500000 | 8.30 | 5.600 | 3.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dorsoidong Co | Dorsoidong Co | Lacustrine | China, Tibet | 33.325000000 | 89.895000000 | 9.10 | 0.330 | 9.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 Chibzhang Co | Chibzhang Co | Lacustrine | China, Tibet | 33.376210000 | 90.236230000 | 9.10 | 5.100 | 9.26E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dogai Coring | Dogai Coring | Lacustrine | China, Tibet | 34.552950000 | 88.980610000 | 7.35 | 3.700 | 1.64E005 | Kou et al. (2022) | ACA |
| Kou_2022 Tso Ngon | Tso Ngon | Lacustrine | China, Tibet | 31.657600000 | 88.818430000 | 8.92 | 6.260 | 3.01E002 | Kou et al. (2022) | ACA |
| Kou_2022 Kering Tso | Kering Tso | Lacustrine | China, Tibet | 31.210990000 | 88.194180000 | 9.55 | 6.500 | 2.37E002 | Kou et al. (2022) | ACA |
| Kou_2022 Kering Tso_2 | Kering Tso | Lacustrine | China, Tibet | 31.015160000 | 88.485080000 | 9.55 | 6.400 | 2.37E002 | Kou et al. (2022) | ACA |
| Kou_2022 Ang Laren Lake | Ang Laren Lake | Lacustrine | China, Tibet | 31.574000000 | 83.038433330 | 10.00 | 7.700 | 1.62E004 | Kou et al. (2022) | ACA |
| Kou_2022 Rengqingxiubu Lake | Rengqingxiubu Lake | Lacustrine | China, Tibet | 31.277350000 | 83.464595000 | 10.40 | 5.300 | 2.97E003 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Manasarovar | Lake Manasarovar | Lacustrine | China, Tibet | 30.633835000 | 81.437805000 | 8.95 | 7.850 | 3.24E002 | Kou et al. (2022) | ACA |
| Kou_2022 Lhanag-tso | Lhanag-tso | Lacustrine | China, Tibet | 30.669180000 | 81.251595000 | 8.49 | 8.600 | 1.03E003 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co | Siling Co | Lacustrine | China, Tibet | 31.958990000 | 89.069630000 | 9.50 | 5.880 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co_2 | Siling Co | Lacustrine | China, Tibet | 31.897760000 | 89.099680000 | 9.50 | 5.600 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co_3 | Siling Co | Lacustrine | China, Tibet | 31.771730000 | 89.147170000 | 9.50 | 6.300 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Angzi Co | Angzi Co | Lacustrine | China, Tibet | 31.008570000 | 87.087110000 | 9.68 | 0.600 | 7.91E003 | Kou et al. (2022) | ACA |
| Kou_2022 Tong Tso | Tong Tso | Lacustrine | China, Tibet | 32.175836000 | 84.727364000 | 9.02 | 7.420 | 3.76E004 | Kou et al. (2022) | ACA |
| Kou_2022 Cam Co | Cam Co | Lacustrine | China, Tibet | 32.109502000 | 83.554312000 | 8.63 | 1.500 | 1.31E005 | Kou et al. (2022) | ACA |
| Kou_2022 Lagkor Co | Lagkor Co | Lacustrine | China, Tibet | 32.038451000 | 84.139154000 | 8.84 | 6.860 | 5.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lumajangdong Co | Lumajangdong Co | Lacustrine | China, Tibet | 34.012516000 | 81.677134000 | 9.60 | 1.800 | 1.61E004 | Kou et al. (2022) | ACA |
| Kou_2022 Jieze Caka | Jieze Caka | Lacustrine | China, Tibet | 33.942000000 | 80.881000000 | 9.00 | 7.000 | 1.23E005 | Kou et al. (2022) | ACA |
| Kou_2022 Dajia Lake | Dajia Lake | Lacustrine | China, Tibet | 29.812687000 | 85.730921000 | 9.45 | 3.560 | 2.92E003 | Kou et al. (2022) | ACA |
| Kou_2022 Tso Ngon (Naqu) | Tso Ngon (Naqu) | Lacustrine | China, Tibet | 31.492080000 | 91.512745000 | 8.79 | 6.810 | 5.28E003 | Kou et al. (2022) | ACA |
| Kou_2022 Neri Pumco | Neri Pumco | Lacustrine | China, Tibet | 31.303370000 | 91.462937000 | 9.40 | 6.210 | 9.39E003 | Kou et al. (2022) | ACA |
| Kou_2022 Cona | Cona | Lacustrine | China, Tibet | 32.048588000 | 91.469388000 | 8.60 | 5.530 | 5.05E002 | Kou et al. (2022) | ACA |
| Kou_2022 Dung Co | Dung Co | Lacustrine | China, Tibet | 31.672970000 | 91.166520000 | 9.45 | 6.300 | 1.76E004 | Kou et al. (2022) | ACA |
| Kou_2022 Pung Co | Pung Co | Lacustrine | China, Tibet | 31.497923000 | 90.938827000 | 9.05 | 3.350 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Darao Co | Darao Co | Lacustrine | China, Tibet | 31.696340000 | 90.740820000 | 9.28 | 8.570 | 6.34E003 | Kou et al. (2022) | ACA |
| Kou_2022 Bam Co | Bam Co | Lacustrine | China, Tibet | 31.168175000 | 90.548035000 | 9.12 | 3.050 | 1.10E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yoqag Co | Yoqag Co | Lacustrine | China, Tibet | 30.476080000 | 88.623800000 | 8.80 | 6.000 | 2.67E002 | Kou et al. (2022) | ACA |
| Kou_2022 Mugqu Co | Mugqu Co | Lacustrine | China, Tibet | 31.039290000 | 89.012630000 | 9.30 | 5.200 | 1.80E002 | Kou et al. (2022) | ACA |
| Kou_2022 Gomang Co | Gomang Co | Lacustrine | China, Tibet | 31.209260000 | 89.204260000 | 9.90 | 4.700 | 1.16E004 | Kou et al. (2022) | ACA |
| Kou_2022 Urru Co | Urru Co | Lacustrine | China, Tibet | 31.711968000 | 87.940146000 | 9.60 | 6.700 | 3.66E002 | Kou et al. (2022) | ACA |
| Kou_2022 Serbug Co | Serbug Co | Lacustrine | China, Tibet | 32.005396000 | 88.228713000 | 9.60 | 5.500 | 1.04E004 | Kou et al. (2022) | ACA |
| Kou_2022 Norma Co | Norma Co | Lacustrine | China, Tibet | 32.397591000 | 88.063762000 | 10.10 | 5.400 | 2.71E004 | Kou et al. (2022) | ACA |
| Kou_2022 Kyebxang Co | Kyebxang Co | Lacustrine | China, Tibet | 32.447865000 | 89.986981000 | 10.20 | 2.850 | 4.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake | Yamdrok Lake | Lacustrine | China, Tibet | 28.837759000 | 90.614069000 | 9.28 | 6.700 | 1.58E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake_2 | Yamdrok Lake | Lacustrine | China, Tibet | 29.063760000 | 90.695690000 | 9.28 | 6.400 | 1.58E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake_3 | Yamdrok Lake | Lacustrine | China, Tibet | 28.947687000 | 90.866612000 | 9.28 | 5.900 | 1.59E003 | Kou et al. (2022) | ACA |
| Kou_2022 Telashi Lake | Telashi Lake | Lacustrine | China, Tibet | 34.807606000 | 92.242007000 | 8.40 | 8.600 | 2.59E004 | Kou et al. (2022) | ACA |
| Kou_2022 Wulanwula Lake | Wulanwula Lake | Lacustrine | China, Tibet | 34.858560000 | 90.367244000 | 7.88 | 10.500 | 1.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Wulanwula Lake_2 | Wulanwula Lake | Lacustrine | China, Tibet | 34.766246000 | 90.669564000 | 7.00 | 10.500 | 1.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Xijir Ulan Lake | Xijir Ulan Lake | Lacustrine | China, Tibet | 35.204984000 | 90.325991000 | 10.240 | 1.62E005 | Kou et al. (2022) | ACA | |
| Kou_2022 Lexie Wudan Lake | Lexie Wudan Lake | Lacustrine | China, Tibet | 35.744310000 | 90.201196000 | 7.00 | 0.400 | 1.15E005 | Kou et al. (2022) | ACA |
| Kou_2022 Taiyang Lake | Taiyang Lake | Lacustrine | China, Tibet | 35.925053000 | 90.623673000 | 8.10 | 9.600 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Hoh Xil Lake | Hoh Xil Lake | Lacustrine | China, Tibet | 35.574504000 | 91.235542000 | 8.80 | 11.100 | 1.27E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zigetang Co | Zigetang Co | Lacustrine | China, Tibet | 32.078964000 | 90.895852000 | 10.10 | 6.790 | 1.74E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zigetang Co_2 | Zigetang Co | Lacustrine | China, Tibet | 32.056774000 | 90.944170000 | 10.10 | 5.690 | 1.74E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yagain Co | Yagain Co | Lacustrine | China, Tibet | 33.043803000 | 89.795208000 | 8.40 | 5.200 | 1.19E005 | Kou et al. (2022) | ACA |
| Kou_2022 Yahu Lake | Yahu Lake | Lacustrine | China, Tibet | 33.174534000 | 89.068833000 | 8.78 | 5.700 | 9.49E004 | Kou et al. (2022) | ACA |
| Kou_2022 Angda'er Co | Angda'er Co | Lacustrine | China, Tibet | 32.699465000 | 89.570890000 | 9.65 | 1.200 | 1.08E005 | Kou et al. (2022) | ACA |
| Kou_2022 Pongyin Co | Pongyin Co | Lacustrine | China, Tibet | 32.895513890 | 88.207705560 | 8.75 | 4.400 | 2.28E005 | Kou et al. (2022) | ACA |
| Kou_2022 Baidoi Co | Baidoi Co | Lacustrine | China, Tibet | 32.792735000 | 87.822984000 | 9.60 | 5.800 | 3.75E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yibug Caka | Yibug Caka | Lacustrine | China, Tibet | 32.969779000 | 86.708627000 | 8.40 | 4.300 | 7.17E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Ayakum | Lake Ayakum | Lacustrine | China, Tibet | 37.552253000 | 89.483765000 | 8.70 | 1.600 | 1.11E005 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Ayakum_2 | Lake Ayakum | Lacustrine | China, Tibet | 37.565341000 | 89.242834000 | 8.70 | 4.700 | 9.66E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol | Lake Aqqikkol | Lacustrine | China, Tibet | 37.074024000 | 88.537989000 | 8.78 | 8.200 | 6.55E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol_2 | Lake Aqqikkol | Lacustrine | China, Tibet | 37.113989000 | 88.293771000 | 8.78 | 6.800 | 5.07E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol_3 | Lake Aqqikkol | Lacustrine | China, Tibet | 37.110107000 | 88.462369000 | 8.78 | 0.150 | 5.38E004 | Kou et al. (2022) | ACA |
| Kou_2022 Jingyu Lake | Jingyu Lake | Lacustrine | China, Tibet | 36.246263000 | 89.585284000 | 8.95 | 10.000 | 2.13E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhuonai Lake | Zhuonai Lake | Lacustrine | China, Tibet | 35.557805000 | 91.939149000 | 8.80 | 3.800 | 7.42E003 | Kou et al. (2022) | ACA |
| Wang_2021 Dalongchi | Dalongchi | Lacustrine | ACA lakes | 42.450000000 | 83.300000000 | 1.00E001 | Wang et al. (2021) | ACA | ||
| Wang_2021 Songshu | Songshu | Lacustrine | ACA lakes | 47.390000000 | 120.470000000 | 9.43 | 1.00E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Songye | Songye | Lacustrine | ACA lakes | 47.400000000 | 120.670000000 | 10.10 | 3.30E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Xianhe | Xianhe | Lacustrine | ACA lakes | 47.340000000 | 120.440000000 | 10.18 | 4.50E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Kanas | Kanas | Lacustrine | ACA lakes | 48.783333330 | 87.016666670 | 7.30 | 6.70E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.340000000 | 9.88 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi_2 | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.330000000 | 10.08 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi_3 | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.340000000 | 10.04 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Achit Nuur | Achit Nuur | Lacustrine | ACA lakes | 49.502825000 | 90.543766670 | 7.70 | 3.00E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Jili | Jili | Lacustrine | ACA lakes | 46.933333330 | 87.400000000 | 8.91 | 4.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Hurleg | Hurleg | Lacustrine | ACA lakes | 37.266666670 | 96.883333330 | 8.00 | 7.90E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Heihu | Heihu | Lacustrine | ACA lakes | 48.683333330 | 87.183333330 | 1.00E003 | Wang et al. (2021) | ACA | ||
| Wang_2021 Shuanghu | Shuanghu | Lacustrine | ACA lakes | 48.866666670 | 87.033333330 | 1.00E003 | Wang et al. (2021) | ACA | ||
| Wang_2021 Genggahai | Genggahai | Lacustrine | ACA lakes | 36.183333330 | 100.150000000 | 9.10 | 1.20E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Ailike | Ailike | Lacustrine | ACA lakes | 45.990000000 | 85.825000000 | 9.27 | 1.45E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Ailike_2 | Ailike | Lacustrine | ACA lakes | 45.938333330 | 85.800000000 | 9.27 | 1.45E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.780000000 | 9.67 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun_2 | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.790000000 | 9.48 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun_3 | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.790000000 | 9.53 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Bosten | Bosten | Lacustrine | ACA lakes | 42.000000000 | 87.050000000 | 8.65 | 1.48E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Wulungu | Wulungu | Lacustrine | ACA lakes | 47.300000000 | 87.283333330 | 8.99 | 2.34E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Sailimu | Sailimu | Lacustrine | ACA lakes | 44.583333330 | 81.166666670 | 8.80 | 3.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Airag Nuur | Airag Nuur | Lacustrine | ACA lakes | 48.923333330 | 93.394722220 | 9.60 | 3.82E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Dali | Dali | Lacustrine | ACA lakes | 43.370000000 | 116.660000000 | 9.90 | 4.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Dali_2 | Dali | Lacustrine | ACA lakes | 43.370000000 | 116.660000000 | 9.90 | 4.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hara-Us-Nuur | Hara-Us-Nuur | Lacustrine | ACA lakes | 47.981500000 | 92.121077780 | 9.80 | 5.04E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Khirgis Nuur | Khirgis Nuur | Lacustrine | ACA lakes | 49.029444440 | 93.382222220 | 9.90 | 7.67E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai | Daihai | Lacustrine | ACA lakes | 40.580000000 | 112.650000000 | 9.21 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai_2 | Daihai | Lacustrine | ACA lakes | 40.590000000 | 112.650000000 | 9.22 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai_3 | Daihai | Lacustrine | ACA lakes | 40.590000000 | 112.650000000 | 9.25 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Shaazghai | Shaazghai | Lacustrine | ACA lakes | 49.238055560 | 91.265833330 | 9.80 | 1.42E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Shaazghai_2 | Shaazghai | Lacustrine | ACA lakes | 49.238055560 | 91.265833330 | 9.80 | 1.42E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Lake Qinghai | Lake Qinghai | Lacustrine | ACA lakes | 36.718888890 | 100.656388900 | 9.14 | 1.50E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Toson | Toson | Lacustrine | ACA lakes | 37.116666670 | 96.950000000 | 8.90 | 1.59E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sugan | Sugan | Lacustrine | ACA lakes | 38.858333330 | 93.850000000 | 8.50 | 3.23E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sanggendalainaoer | Sanggendalainaoer | Lacustrine | ACA lakes | 42.660000000 | 115.760000000 | 10.24 | 5.60E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sanggendalainaoer_2 | Sanggendalainaoer | Lacustrine | ACA lakes | 42.660000000 | 115.760000000 | 10.24 | 5.60E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Bayannaori | Bayannaori | Lacustrine | ACA lakes | 42.580000000 | 115.940000000 | 10.13 | 5.70E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Gahai | Gahai | Lacustrine | ACA lakes | 37.133333330 | 97.558333330 | 8.28 | 9.06E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Jamantuz Lake | Jamantuz Lake | Lacustrine | ACA lakes | 54.051694440 | 69.219583330 | 8.50 | 9.93E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Jamantuz Lake_2 | Jamantuz Lake | Lacustrine | ACA lakes | 54.051694440 | 69.219583330 | 8.50 | 9.93E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Aibi | Aibi | Lacustrine | ACA lakes | 44.900000000 | 83.000000000 | 8.09 | 1.12E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Kishi-Karoi | Kishi-Karoi | Lacustrine | ACA lakes | 53.997333330 | 71.277216670 | 6.00 | 2.01E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Balikun | Balikun | Lacustrine | ACA lakes | 43.666666670 | 92.800000000 | 7.60 | 2.05E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Tuolekule | Tuolekule | Lacustrine | ACA lakes | 43.400000000 | 94.216666670 | 7.43 | 2.70E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Kyzylkak | Kyzylkak | Lacustrine | ACA lakes | 53.363783330 | 73.793950000 | 3.00E005 | Wang et al. (2021) | ACA | ||
| Wang_2021 SeletyTeniz | SeletyTeniz | Lacustrine | ACA lakes | 53.286800000 | 73.427550000 | 3.00E005 | Wang et al. (2021) | ACA | ||
| Wang_2021 Kalibek | Kalibek | Lacustrine | ACA lakes | 53.942533330 | 70.625783330 | 6.50 | 3.07E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Manas | Manas | Lacustrine | ACA lakes | 45.833333330 | 85.966666670 | 6.87 | 3.28E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Manas_2 | Manas | Lacustrine | ACA lakes | 45.833333330 | 85.966666670 | 6.87 | 3.28E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Dongtai | Dongtai | Lacustrine | ACA lakes | 37.571936000 | 93.767103000 | 7.75 | 3.32E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Teke | Teke | Lacustrine | ACA lakes | 53.918166670 | 72.923000000 | 7.48 | 3.76E005 | Wang et al. (2021) | ACA | |
| Dang_2018 Daihai | Daihai | Lacustrine | China | 40.580000000 | 112.670000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Daihai_2 | Daihai | Lacustrine | China | 40.580000000 | 112.660000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Daihai_3 | Daihai | Lacustrine | China | 40.590000000 | 112.650000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Lake Qinghai | Lake Qinghai | Lacustrine | China | 36.860000000 | 100.310000000 | 9.10 | 1.50E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Lake Qinghai_2 | Lake Qinghai | Lacustrine | China | 36.730000000 | 100.310000000 | 9.00 | 1.50E004 | Dang et al. (2018) | ACA | |
| Chen_2021 TW-110 | TW-1 | Soil | Tajikistan | 38.525200000 | 69.210566670 | Chen et al. (2021) | ACA | |||
| Chen_2021 TW-29 | TW-2 | Soil | Tajikistan | 38.528700000 | 69.278716670 | 8.23 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-31 | TW-3 | Soil | Tajikistan | 38.559916670 | 69.342850000 | 6.98 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-41 | TW-4 | Soil | Tajikistan | 38.580733330 | 69.401033330 | 8.19 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-51 | TW-5 | Soil | Tajikistan | 38.579100000 | 69.413450000 | 7.77 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-61 | TW-6 | Soil | Tajikistan | 38.730200000 | 70.363166670 | 7.20 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-71 | TW-7 | Soil | Tajikistan | 38.611100000 | 69.465966670 | 7.61 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-81 | TW-8 | Soil | Tajikistan | 38.737816670 | 70.606133330 | 7.99 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-91 | TW-9 | Soil | Tajikistan | 38.692150000 | 69.614600000 | 6.62 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-101 | TW-10 | Soil | Tajikistan | 38.739750000 | 70.633383330 | 7.45 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-111 | TW-11 | Soil | Tajikistan | 38.662300000 | 69.553650000 | 8.02 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-121 | TW-12 | Soil | Tajikistan | 38.710450000 | 70.655600000 | 7.76 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-131 | TW-13 | Soil | Tajikistan | 38.692683330 | 70.697883330 | 7.83 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-141 | TW-14 | Soil | Tajikistan | 38.691933330 | 70.713583330 | 7.93 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-151 | TW-15 | Soil | Tajikistan | 38.689350000 | 70.717883330 | 7.31 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-161 | TW-16 | Soil | Tajikistan | 38.680550000 | 70.720400000 | 7.38 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-171 | TW-17 | Soil | Tajikistan | 38.679050000 | 70.732650000 | 8.35 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-181 | TW-18 | Soil | Tajikistan | 38.671033330 | 70.737033330 | 7.69 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-191 | TW-19 | Soil | Tajikistan | 38.668866670 | 70.730366670 | 6.79 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-201 | TW-20 | Soil | Tajikistan | 38.662950000 | 70.726933330 | 7.13 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-211 | TW-21 | Soil | Tajikistan | 38.657066670 | 70.733400000 | 6.58 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-221 | TW-22 | Soil | Tajikistan | 38.649766670 | 70.731916670 | 7.01 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-231 | TW-23 | Soil | Tajikistan | 38.647000000 | 70.723800000 | 6.53 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-241 | TW-24 | Soil | Tajikistan | 38.651983330 | 70.716383330 | 7.37 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-251 | TW-25 | Soil | Tajikistan | 38.647433330 | 70.714966670 | 7.16 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-261 | TW-26 | Soil | Tajikistan | 38.639466670 | 70.718766670 | 6.51 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-271 | TW-27 | Soil | Tajikistan | 38.639600000 | 70.711683330 | 6.56 | Chen et al. (2021) | ACA | ||
| Chen_2021 TW-281 | TW-28 | Soil | Tajikistan | 38.631100000 | 70.717133330 | 7.19 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-110 | TE1-1 | Soil | Tajikistan | 37.508350000 | 71.596166670 | 7.08 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-21 | TE1-2 | Soil | Tajikistan | 37.541600000 | 71.703850000 | 6.41 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-31 | TE1-3 | Soil | Tajikistan | 37.619150000 | 71.758800000 | 6.65 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-41 | TE1-4 | Soil | Tajikistan | 37.690900000 | 71.864516670 | 8.88 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-51 | TE1-5 | Soil | Tajikistan | 37.698200000 | 71.936416670 | 7.07 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-61 | TE1-6 | Soil | Tajikistan | 37.729233330 | 72.065016670 | 7.34 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-71 | TE1-7 | Soil | Tajikistan | 37.742566670 | 72.109650000 | 7.43 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-81 | TE1-8 | Soil | Tajikistan | 37.698466670 | 72.209950000 | 6.58 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-91 | TE1-9 | Soil | Tajikistan | 37.717066670 | 72.297333330 | 5.95 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-101 | TE1-10 | Soil | Tajikistan | 37.699450000 | 72.396400000 | 7.12 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-111 | TE1-11 | Soil | Tajikistan | 37.699300000 | 72.445533330 | 7.33 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-121 | TE1-12 | Soil | Tajikistan | 37.674916670 | 72.496083330 | 7.22 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-131 | TE1-13 | Soil | Tajikistan | 37.638516670 | 72.539233330 | 7.09 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-141 | TE1-14 | Soil | Tajikistan | 37.573466670 | 72.598366670 | 7.07 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-151 | TE1-15 | Soil | Tajikistan | 37.559000000 | 72.655716670 | 7.10 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-161 | TE1-16 | Soil | Tajikistan | 37.528416670 | 72.678816670 | 6.85 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-171 | TE1-17 | Soil | Tajikistan | 37.493366670 | 72.701500000 | 7.47 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-181 | TE1-18 | Soil | Tajikistan | 37.489283330 | 72.734666670 | 7.84 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-191 | TE1-19 | Soil | Tajikistan | 37.488200000 | 72.750633330 | 7.04 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE1-201 | TE1-20 | Soil | Tajikistan | 37.467850000 | 72.758466670 | 6.99 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-11 | TE2-1 | Soil | Tajikistan | 37.655716670 | 72.520433330 | 7.15 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-21 | TE2-2 | Soil | Tajikistan | 37.559000000 | 72.655716670 | 6.62 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-31 | TE2-3 | Soil | Tajikistan | 37.528416670 | 72.678816670 | 7.16 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-41 | TE2-4 | Soil | Tajikistan | 37.493366670 | 72.701500000 | 7.61 | Chen et al. (2021) | ACA | ||
| Chen_2021 TE2-51 | TE2-5 | Soil | Tajikistan | 37.477200000 | 72.762650000 | 6.86 | Chen et al. (2021) | ACA | ||
| Dearing Crampton-Flood 2020 ChinaP6091 | ChinaP609 | Soil | Global BayMBT Soils | 32.430000000 | 83.220000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP6221 | ChinaP622 | Soil | Global BayMBT Soils | 31.750000000 | 86.800000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP6351 | ChinaP635 | Soil | Global BayMBT Soils | 31.510000000 | 89.150000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP6421 | ChinaP642 | Soil | Global BayMBT Soils | 31.390000000 | 90.240000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP8011 | ChinaP801 | Soil | Global BayMBT Soils | 33.730000000 | 92.100000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP7511 | ChinaP751 | Soil | Global BayMBT Soils | 36.320000000 | 100.890000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP7821 | ChinaP782 | Soil | Global BayMBT Soils | 36.860000000 | 101.020000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP7841 | ChinaP784 | Soil | Global BayMBT Soils | 37.140000000 | 99.570000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 ChinaP8101 | ChinaP810 | Soil | Global BayMBT Soils | 31.070000000 | 91.690000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China411 | China41 | Soil | Global BayMBT Soils | 43.710000000 | 112.920000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China501 | China50 | Soil | Global BayMBT Soils | 45.430000000 | 119.720000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China511 | China51 | Soil | Global BayMBT Soils | 46.380000000 | 120.480000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China551 | China55 | Soil | Global BayMBT Soils | 48.490000000 | 117.160000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 China611 | China61 | Soil | Global BayMBT Soils | 49.880000000 | 119.990000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Dearing Crampton-Flood 2020 Russia - Turan1 | Russia - Turan | Soil | Global BayMBT Soils | 51.640000000 | 101.710000000 | Dearing Crampton-Flood et al. (2020) | ACA | |||
| Guo_2021 MS11_soil1 | MS11_soil | Soil | China, Inner Mong. | 49.330000000 | 119.970000000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS21_soil1 | MS21_soil | Soil | China, Inner Mong. | 49.050600000 | 119.543500000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS31_soil1 | MS31_soil | Soil | China, Inner Mong. | 49.617700000 | 119.791900000 | 7.80 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS41_soil1 | MS41_soil | Soil | China, Inner Mong. | 43.832300000 | 116.475200000 | 8.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS51_soil1 | MS51_soil | Soil | China, Inner Mong. | 44.636200000 | 117.760000000 | 8.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS61_soil1 | MS61_soil | Soil | China, Inner Mong. | 44.420600000 | 116.959500000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS71_soil1 | MS71_soil | Soil | China, Inner Mong. | 47.650600000 | 119.295800000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 MS81_soil1 | MS81_soil | Soil | China, Inner Mong. | 46.596800000 | 119.497400000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS11_soil1 | TS11_soil | Soil | China, Inner Mong. | 48.477900000 | 119.647600000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS21_soil1 | TS21_soil | Soil | China, Inner Mong. | 49.489200000 | 118.396600000 | 8.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS31_soil1 | TS31_soil | Soil | China, Inner Mong. | 48.812500000 | 116.788200000 | 9.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS41_soil1 | TS41_soil | Soil | China, Inner Mong. | 48.757300000 | 118.704500000 | 8.40 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS51_soil1 | TS51_soil | Soil | China, Inner Mong. | 43.576700000 | 116.693400000 | 8.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS61_soil1 | TS61_soil | Soil | China, Inner Mong. | 43.925100000 | 116.287100000 | 8.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS71_soil1 | TS71_soil | Soil | China, Inner Mong. | 43.736500000 | 116.108400000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS81_soil1 | TS81_soil | Soil | China, Inner Mong. | 45.587900000 | 117.039800000 | 7.80 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS91_soil1 | TS91_soil | Soil | China, Inner Mong. | 48.601200000 | 116.628800000 | 8.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS101_soil1 | TS101_soil | Soil | China, Inner Mong. | 48.491700000 | 117.141000000 | 9.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS111_soil1 | TS111_soil | Soil | China, Inner Mong. | 46.266800000 | 118.542700000 | 7.70 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS121_soil1 | TS121_soil | Soil | China, Inner Mong. | 45.409900000 | 116.907700000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS131_soil1 | TS131_soil | Soil | China, Inner Mong. | 44.078900000 | 115.907200000 | 9.10 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS141_soil1 | TS141_soil | Soil | China, Inner Mong. | 43.864500000 | 114.157600000 | 8.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS151_soil1 | TS151_soil | Soil | China, Inner Mong. | 41.503500000 | 108.829000000 | 9.20 | Guo et al. (2021) | ACA | ||
| Guo_2021 TS161_soil1 | TS161_soil | Soil | China, Inner Mong. | 42.087000000 | 112.162900000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS11_soil1 | DS11_soil | Soil | China, Inner Mong. | 41.516400000 | 110.686500000 | 9.00 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS21_soil1 | DS21_soil | Soil | China, Inner Mong. | 41.822000000 | 108.545000000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS31_soil1 | DS31_soil | Soil | China, Inner Mong. | 39.756100000 | 108.643500000 | 9.40 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS41_soil1 | DS41_soil | Soil | China, Inner Mong. | 39.153800000 | 107.929100000 | 9.60 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS51_soil1 | DS51_soil | Soil | China, Inner Mong. | 41.742200000 | 111.790000000 | 9.30 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS71_soil1 | DS71_soil | Soil | China, Inner Mong. | 43.296200000 | 112.262500000 | 9.90 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS81_soil1 | DS81_soil | Soil | China, Inner Mong. | 42.958900000 | 112.738100000 | 9.50 | Guo et al. (2021) | ACA | ||
| Guo_2021 DS91_soil1 | DS91_soil | Soil | China, Inner Mong. | 43.325600000 | 113.074900000 | 9.50 | Guo et al. (2021) | ACA | ||
| IMS12 | IM1 | Soil | China, Inner Mong. | 48.251900000 | 118.418367000 | Li et al. (2017) | ACA | |||
| IMS21 | IM2 | Soil | China, Inner Mong. | 48.242617000 | 118.442733000 | Li et al. (2017) | ACA | |||
| IMS31 | IM3 | Soil | China, Inner Mong. | 48.313083000 | 118.536100000 | Li et al. (2017) | ACA | |||
| IMS41 | IM4 | Soil | China, Inner Mong. | 48.314167000 | 118.547867000 | Li et al. (2017) | ACA | |||
| IMS51 | IM5 | Soil | China, Inner Mong. | 48.248700000 | 118.464400000 | Li et al. (2017) | ACA | |||
| IMS61 | IM6 | Soil | China, Inner Mong. | 48.886900000 | 118.094217000 | Li et al. (2017) | ACA | |||
| IMS71 | IM7 | Soil | China, Inner Mong. | 48.278900000 | 117.655567000 | Li et al. (2017) | ACA | |||
| IMS81 | IM8 | Soil | China, Inner Mong. | 48.385500000 | 118.708983000 | Li et al. (2017) | ACA | |||
| IMS91 | IM9 | Soil | China, Inner Mong. | 48.378333000 | 118.821283000 | Li et al. (2017) | ACA | |||
| IMS101 | IM10 | Soil | China, Inner Mong. | 48.209850000 | 118.420617000 | Li et al. (2017) | ACA | |||
| IMS111 | IM11 | Soil | China, Inner Mong. | 48.178700000 | 118.434017000 | Li et al. (2017) | ACA | |||
| Naafs_2017_Soils_AES -11 | AES -1 | Soil | Global soils | 47.100000000 | 119.890000000 | 5.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_QML -11 | QML -1 | Soil | Global soils | 34.160000000 | 95.900000000 | 7.02 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_HY-11 | HY-1 | Soil | Global soils | 37.020000000 | 100.800000000 | 7.41 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_HYX-21 | HYX-2 | Soil | Global soils | 36.690000000 | 101.300000000 | 7.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_WLHT-21 | WLHT-2 | Soil | Global soils | 46.050000000 | 121.790000000 | 6.24 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ND-11 | ND-1 | Soil | Global soils | 29.250000000 | 91.680000000 | 7.69 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZD-11 | ZD-1 | Soil | Global soils | 33.770000000 | 95.660000000 | 7.30 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_TR-11 | TR-1 | Soil | Global soils | 35.550000000 | 102.030000000 | 7.67 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZGEQ-21 | ZGEQ-2 | Soil | Global soils | 39.870000000 | 111.180000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_KDE-31 | KDE-3 | Soil | Global soils | 49.940000000 | 121.430000000 | 6.13 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_NR-11 | NR-1 | Soil | Global soils | 32.090000000 | 92.270000000 | 6.35 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_FZ-21 | FZ-2 | Soil | Global soils | 40.450000000 | 113.190000000 | 7.30 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_LKZ-31 | LKZ-3 | Soil | Global soils | 29.060000000 | 90.390000000 | 6.10 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YKS-31 | YKS-3 | Soil | Global soils | 49.330000000 | 120.970000000 | 6.57 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_RYZ-21 | RYZ-2 | Soil | Global soils | 29.330000000 | 88.980000000 | 7.56 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YZ-21 | YZ-2 | Soil | Global soils | 35.780000000 | 104.050000000 | 7.17 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_YZ-31 | YZ-3 | Soil | Global soils | 35.780000000 | 104.050000000 | 7.08 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZL-31 | ZL-3 | Soil | Global soils | 29.290000000 | 91.150000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_LX-11 | LX-1 | Soil | Global soils | 43.440000000 | 120.080000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_ZLT-21 | ZLT-2 | Soil | Global soils | 44.610000000 | 120.970000000 | 7.52 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_TD-31 | TD-3 | Soil | Global soils | 35.270000000 | 100.640000000 | 7.83 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7561 | P756 | Soil | Global soils | 35.350000000 | 100.930000000 | 7.75 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7601 | P760 | Soil | Global soils | 34.540000000 | 100.220000000 | 7.50 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7651 | P765 | Soil | Global soils | 33.030000000 | 96.920000000 | 7.63 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7731 | P773 | Soil | Global soils | 33.950000000 | 95.700000000 | 7.14 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7751 | P775 | Soil | Global soils | 34.100000000 | 96.200000000 | 7.18 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7821 | P782 | Soil | Global soils | 36.860000000 | 101.020000000 | 7.81 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7871 | P787 | Soil | Global soils | 37.280000000 | 98.390000000 | 7.98 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P7961 | P796 | Soil | Global soils | 35.130000000 | 93.040000000 | 8.04 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8011 | P801 | Soil | Global soils | 33.730000000 | 92.100000000 | 7.66 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8021 | P802 | Soil | Global soils | 33.320000000 | 91.880000000 | 7.65 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8041 | P804 | Soil | Global soils | 32.190000000 | 91.680000000 | 7.67 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8161 | P816 | Soil | Global soils | 29.280000000 | 90.640000000 | 7.81 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8171 | P817 | Soil | Global soils | 29.190000000 | 90.620000000 | 6.52 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8181 | P818 | Soil | Global soils | 29.200000000 | 90.620000000 | 6.74 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8191 | P819 | Soil | Global soils | 29.210000000 | 90.640000000 | 6.46 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8201 | P820 | Soil | Global soils | 29.220000000 | 90.630000000 | 6.87 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8211 | P821 | Soil | Global soils | 29.230000000 | 90.630000000 | 7.09 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8311 | P831 | Soil | Global soils | 28.240000000 | 88.770000000 | 7.86 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8331 | P833 | Soil | Global soils | 28.260000000 | 87.790000000 | 8.37 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8481 | P848 | Soil | Global soils | 29.550000000 | 84.640000000 | 8.13 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8511 | P851 | Soil | Global soils | 29.440000000 | 85.670000000 | 7.15 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8581 | P858 | Soil | Global soils | 29.900000000 | 90.130000000 | 6.77 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8591 | P859 | Soil | Global soils | 29.890000000 | 90.120000000 | 6.36 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8601 | P860 | Soil | Global soils | 29.870000000 | 90.120000000 | 6.22 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8611 | P861 | Soil | Global soils | 29.840000000 | 90.060000000 | 6.58 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8621 | P862 | Soil | Global soils | 29.800000000 | 90.030000000 | 6.27 | Naafs et al. (2017a) | ACA | ||
| Naafs_2017_Soils_P8631 | P863 | Soil | Global soils | 29.710000000 | 89.960000000 | 6.76 | Naafs et al. (2017a) | ACA | ||
| Wang_2020_461 | 46 | Soil | China | 39.081011110 | 90.193839440 | 7.82 | Wang et al. (2020) | ACA | ||
| Wang_2020_471 | 47 | Soil | China | 39.081011110 | 90.193839440 | 7.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_481 | 48 | Soil | China | 39.081011110 | 90.193839440 | 7.99 | Wang et al. (2020) | ACA | ||
| Wang_2020_491 | 49 | Soil | China | 38.964784720 | 90.170563890 | 7.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_501 | 50 | Soil | China | 38.964784720 | 90.170563890 | 7.79 | Wang et al. (2020) | ACA | ||
| Wang_2020_511 | 51 | Soil | China | 38.964784720 | 90.170563890 | 7.99 | Wang et al. (2020) | ACA | ||
| Wang_2020_521 | 52 | Soil | China | 38.878676110 | 90.228152780 | 8.41 | Wang et al. (2020) | ACA | ||
| Wang_2020_531 | 53 | Soil | China | 38.878676110 | 90.228152780 | 8.18 | Wang et al. (2020) | ACA | ||
| Wang_2020_541 | 54 | Soil | China | 38.878676110 | 90.228152780 | 8.07 | Wang et al. (2020) | ACA | ||
| Wang_2020_551 | 55 | Soil | China | 37.457126390 | 95.972617220 | 8.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_561 | 56 | Soil | China | 37.457126390 | 95.972617220 | 8.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_571 | 57 | Soil | China | 37.457126390 | 95.972617220 | 7.88 | Wang et al. (2020) | ACA | ||
| Wang_2020_581 | 58 | Soil | China | 37.121909440 | 97.596235000 | 8.35 | Wang et al. (2020) | ACA | ||
| Wang_2020_591 | 59 | Soil | China | 37.121909440 | 97.596235000 | 9.28 | Wang et al. (2020) | ACA | ||
| Wang_2020_601 | 60 | Soil | China | 37.121909440 | 97.596235000 | 8.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_611 | 61 | Soil | China | 36.751234440 | 99.609481940 | 7.71 | Wang et al. (2020) | ACA | ||
| Wang_2020_621 | 62 | Soil | China | 36.751234440 | 99.609481940 | 7.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_631 | 63 | Soil | China | 36.751234440 | 99.609481940 | 7.64 | Wang et al. (2020) | ACA | ||
| Wang_2020_641 | 64 | Soil | China | 36.778773610 | 99.677853060 | 7.89 | Wang et al. (2020) | ACA | ||
| Wang_2020_651 | 65 | Soil | China | 36.778773610 | 99.677853060 | 7.87 | Wang et al. (2020) | ACA | ||
| Wang_2020_661 | 66 | Soil | China | 36.778773610 | 99.677853060 | 7.64 | Wang et al. (2020) | ACA | ||
| Wang_2020_821 | 82 | Soil | China | 43.296341670 | 118.403058300 | 7.78 | Wang et al. (2020) | ACA | ||
| Wang_2020_831 | 83 | Soil | China | 43.296341670 | 118.403058300 | 7.72 | Wang et al. (2020) | ACA | ||
| Wang_2020_841 | 84 | Soil | China | 43.296341670 | 118.403058300 | 7.73 | Wang et al. (2020) | ACA | ||
| Wang_2020_851 | 85 | Soil | China | 44.364256390 | 120.521557200 | 7.74 | Wang et al. (2020) | ACA | ||
| Wang_2020_861 | 86 | Soil | China | 44.364256390 | 120.521557200 | 7.77 | Wang et al. (2020) | ACA | ||
| Wang_2020_871 | 87 | Soil | China | 44.364256390 | 120.521557200 | 7.65 | Wang et al. (2020) | ACA | ||
| Wang_2020_881 | 88 | Soil | China | 45.157871940 | 121.567961100 | 6.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_891 | 89 | Soil | China | 45.157871940 | 121.567961100 | 6.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_901 | 90 | Soil | China | 45.157871940 | 121.567961100 | 6.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_911 | 91 | Soil | China | 46.378077780 | 122.435468900 | 6.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_921 | 92 | Soil | China | 46.378077780 | 122.435468900 | 6.08 | Wang et al. (2020) | ACA | ||
| Wang_2020_931 | 93 | Soil | China | 46.378077780 | 122.435468900 | 6.19 | Wang et al. (2020) | ACA | ||
| Wang_2020_941 | 94 | Soil | China | 49.526392780 | 119.703854700 | 6.47 | Wang et al. (2020) | ACA | ||
| Wang_2020_951 | 95 | Soil | China | 49.526392780 | 119.703854700 | 6.45 | Wang et al. (2020) | ACA | ||
| Wang_2020_961 | 96 | Soil | China | 49.526392780 | 119.703854700 | 6.28 | Wang et al. (2020) | ACA | ||
| Wang_2020_971 | 97 | Soil | China | 50.179868890 | 120.150560300 | 6.39 | Wang et al. (2020) | ACA | ||
| Wang_2020_981 | 98 | Soil | China | 50.179868890 | 120.150560300 | 6.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_991 | 99 | Soil | China | 50.179868890 | 120.150560300 | 6.43 | Wang et al. (2020) | ACA | ||
| Wang_2020_1001 | 100 | Soil | China | 51.808831110 | 121.861088300 | 5.32 | Wang et al. (2020) | ACA | ||
| Wang_2020_1011 | 101 | Soil | China | 51.808831110 | 121.861088300 | 4.15 | Wang et al. (2020) | ACA | ||
| Wang_2020_1021 | 102 | Soil | China | 51.808831110 | 121.861088300 | 4.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_1031 | 103 | Soil | China | 51.148271670 | 121.288802500 | 4.03 | Wang et al. (2020) | ACA | ||
| Wang_2020_1041 | 104 | Soil | China | 51.148271670 | 121.288802500 | 4.59 | Wang et al. (2020) | ACA | ||
| Wang_2020_1051 | 105 | Soil | China | 51.148271670 | 121.288802500 | 4.54 | Wang et al. (2020) | ACA | ||
| Wang_2020_1061 | 106 | Soil | China | 50.691238610 | 121.331435000 | 6.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_1071 | 107 | Soil | China | 50.691238610 | 121.331435000 | 6.35 | Wang et al. (2020) | ACA | ||
| Wang_2020_1081 | 108 | Soil | China | 50.691238610 | 121.331435000 | 6.29 | Wang et al. (2020) | ACA | ||
| Wang_2020_1091 | 109 | Soil | China | 48.316948060 | 119.774863600 | 6.40 | Wang et al. (2020) | ACA | ||
| Wang_2020_1101 | 110 | Soil | China | 48.316948060 | 119.774863600 | 6.30 | Wang et al. (2020) | ACA | ||
| Wang_2020_1111 | 111 | Soil | China | 48.316948060 | 119.774863600 | 6.31 | Wang et al. (2020) | ACA | ||
| Wang_2020_1121 | 112 | Soil | China | 47.525306390 | 119.423381100 | 6.57 | Wang et al. (2020) | ACA | ||
| Wang_2020_1131 | 113 | Soil | China | 47.525306390 | 119.423381100 | 6.62 | Wang et al. (2020) | ACA | ||
| Wang_2020_1141 | 114 | Soil | China | 47.525306390 | 119.423381100 | 6.69 | Wang et al. (2020) | ACA | ||
| Wang_2020_1151 | 115 | Soil | China | 46.894409720 | 119.962886700 | 6.68 | Wang et al. (2020) | ACA | ||
| Wang_2020_1161 | 116 | Soil | China | 46.894409720 | 119.962886700 | 6.56 | Wang et al. (2020) | ACA | ||
| Wang_2020_1171 | 117 | Soil | China | 46.894409720 | 119.962886700 | 6.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_1181 | 118 | Soil | China | 35.786860000 | 104.303316700 | 8.02 | Wang et al. (2020) | ACA | ||
| Wang_2020_1191 | 119 | Soil | China | 35.786860000 | 104.303316700 | 7.86 | Wang et al. (2020) | ACA | ||
| Wang_2020_1201 | 120 | Soil | China | 35.786860000 | 104.303316700 | 8.26 | Wang et al. (2020) | ACA | ||
| Wang_2020_1211 | 121 | Soil | China | 36.490564720 | 103.399575600 | 8.60 | Wang et al. (2020) | ACA | ||
| Wang_2020_1221 | 122 | Soil | China | 36.490564720 | 103.399575600 | 8.53 | Wang et al. (2020) | ACA | ||
| Wang_2020_1231 | 123 | Soil | China | 36.490564720 | 103.399575600 | 8.38 | Wang et al. (2020) | ACA | ||
| Wang_2020_1301 | 130 | Soil | China | 40.153971670 | 106.901275300 | 8.66 | Wang et al. (2020) | ACA | ||
| Wang_2020_1311 | 131 | Soil | China | 40.153971670 | 106.901275300 | 8.54 | Wang et al. (2020) | ACA | ||
| Wang_2020_1321 | 132 | Soil | China | 40.153971670 | 106.901275300 | 8.40 | Wang et al. (2020) | ACA | ||
| Wang_2020_1331 | 133 | Soil | China | 41.309828610 | 108.425150800 | 8.70 | Wang et al. (2020) | ACA | ||
| Wang_2020_1341 | 134 | Soil | China | 41.309828610 | 108.425150800 | 8.63 | Wang et al. (2020) | ACA | ||
| Wang_2020_1351 | 135 | Soil | China | 41.309828610 | 108.425150800 | 8.55 | Wang et al. (2020) | ACA | ||
| Wang_2020_1361 | 136 | Soil | China | 41.409839170 | 109.963165000 | 8.10 | Wang et al. (2020) | ACA | ||
| Wang_2020_1371 | 137 | Soil | China | 41.409839170 | 109.963165000 | 8.14 | Wang et al. (2020) | ACA | ||
| Wang_2020_1381 | 138 | Soil | China | 41.409839170 | 109.963165000 | 7.87 | Wang et al. (2020) | ACA | ||
| Wang_2020_1391 | 139 | Soil | China | 39.927900280 | 109.981856900 | 8.14 | Wang et al. (2020) | ACA | ||
| Wang_2020_1401 | 140 | Soil | China | 39.927900280 | 109.981856900 | 8.16 | Wang et al. (2020) | ACA | ||
| Wang_2020_1411 | 141 | Soil | China | 39.927900280 | 109.981856900 | 8.01 | Wang et al. (2020) | ACA | ||
| Wang_2021 Mt. Laji Site 17 | Mt. Laji Site 1 | Soil | China | 36.359555560 | 101.443555600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 21 | Mt. Laji Site 2 | Soil | China | 36.358694440 | 101.444666700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 31 | Mt. Laji Site 3 | Soil | China | 36.357638890 | 101.444805600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 41 | Mt. Laji Site 4 | Soil | China | 36.346472220 | 101.441000000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 51 | Mt. Laji Site 5 | Soil | China | 36.334333330 | 101.466277800 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 61 | Mt. Laji Site 6 | Soil | China | 36.321555560 | 101.497305600 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 71 | Mt. Laji Site 7 | Soil | China | 36.318138890 | 101.510916700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 81 | Mt. Laji Site 8 | Soil | China | 36.311666670 | 101.518250000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 91 | Mt. Laji Site 9 | Soil | China | 36.300277780 | 101.537777800 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 101 | Mt. Laji Site 10 | Soil | China | 36.275833330 | 101.548888900 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 111 | Mt. Laji Site 11 | Soil | China | 36.246444440 | 101.558083300 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 121 | Mt. Laji Site 12 | Soil | China | 36.206472220 | 101.560361100 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 131 | Mt. Laji Site 13 | Soil | China | 36.173694440 | 101.585444400 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 141 | Mt. Laji Site 14 | Soil | China | 36.368277780 | 101.479416700 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 151 | Mt. Laji Site 15 | Soil | China | 36.378833330 | 101.510250000 | Wang et Liu (2021) | ACA | |||
| Wang_2021 Mt. Laji Site 161 | Mt. Laji Site 16 | Soil | China | 36.394583330 | 101.564416700 | Wang et Liu (2021) | ACA | |||
| Zang_2018 TLF-011 | TLF-01 | Soil | China | 42.915277780 | 89.217222220 | 7.81 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-021 | TLF-02 | Soil | China | 42.890555560 | 89.247500000 | 7.99 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-031 | TLF-03 | Soil | China | 42.890555560 | 89.247500000 | 8.18 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-041 | TLF-04 | Soil | China | 42.691666670 | 89.255277780 | 8.04 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-071 | TLF-07 | Soil | China | 42.917777780 | 89.509722220 | 8.01 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-081 | TLF-08 | Soil | China | 42.917777780 | 89.509722220 | 7.96 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-091 | TLF-09 | Soil | China | 42.976388890 | 89.225555560 | 7.74 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-101 | TLF-10 | Soil | China | 42.976388890 | 89.225555560 | 7.58 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-111 | TLF-11 | Soil | China | 42.976388890 | 89.225555560 | 7.61 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-121 | TLF-12 | Soil | China | 42.979166670 | 89.127500000 | 7.81 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-131 | TLF-13 | Soil | China | 42.979166670 | 89.127500000 | 7.87 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-141 | TLF-14 | Soil | China | 42.979166670 | 89.127500000 | 7.84 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-151 | TLF-15 | Soil | China | 42.945833330 | 89.069166670 | 7.88 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-161 | TLF-16 | Soil | China | 42.945833330 | 89.069166670 | 7.92 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-181 | TLF-18 | Soil | China | 42.944444440 | 89.075833330 | 7.98 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-191 | TLF-19 | Soil | China | 42.944444440 | 89.075833330 | 7.86 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-201 | TLF-20 | Soil | China | 42.944444440 | 89.075833330 | 7.51 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-211 | TLF-21 | Soil | China | 42.954722220 | 89.185277780 | 7.17 | Zang et al. (2018) | ACA | ||
| Zang_2018 TLF-221 | TLF-22 | Soil | China | 42.954722220 | 89.185277780 | 7.59 | Zang et al. (2018) | ACA | ||
| De_Jonge_2015_Baikal Baikal_SR | Baikal | Riverine Sediment and SPM | Russia, Baikal | 51.728300000 | 107.462800000 | 8.40 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_SRM | Baikal | Riverine Sediment and SPM | Russia, Baikal | 52.273200000 | 106.254700000 | 8.10 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De Jonge 2015 Siberia_MR1 | Siberia_MR1 | Riverine Sediment and SPM | Siberia | 51.728300000 | 107.462800000 | De Jonge et al. (2015b) | ACA | |||
| De Jonge 2015 Siberia_MR2 | Siberia_MR2 | Riverine Sediment and SPM | Siberia | 54.856300000 | 99.120500000 | De Jonge et al. (2015b) | ACA | |||
| De Jonge 2015 Siberia_SR1 | Siberia_SR1 | Riverine Sediment and SPM | Siberia | 51.945300000 | 100.788400000 | De Jonge et al. (2015b) | ACA | |||
| Naafs_2017_peats 224 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 225 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 226 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 227 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 228 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 229 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Naafs_2017_peats 230 Peat near Neor Lake NA | Peat near Neor Lake | Peat | Global peats | 38.000000000 | 48.600000000 | Naafs et al. (2017b) | ACA | |||
| Dang_2018_1_2_avg1 | Namtso avg | Lacustrine | China | 30.750000000 | 90.550000000 | 9.50 | Dang et al. (2018) | ACA | ||
| Dang_2018_310 | Lake Hulun | Lacustrine | China | 48.950000000 | 117.390000000 | 1.47E003 | Dang et al. (2018) | ACA | ||
| Dang_2018_4_5_avg1 | Lake Qinghai avg | Lacustrine | China | 36.795000000 | 100.310000000 | 9.05 | Dang et al. (2018) | ACA | ||
| Dang_2018_10_11_12_avg1 | Daihai avg | Lacustrine | China | 40.583333330 | 112.660000000 | 9.00 | Dang et al. (2018) | ACA | ||
| Dang_2018_141 | Wuliangsuhai | Lacustrine | China | 40.870000000 | 108.780000000 | 8.70 | 2.99E003 | Dang et al. (2018) | ACA | |
| De_Jonge_2015_Baikal Baikal_S11 | Baikal | Lacustrine | Russia, Baikal | 52.278500000 | 106.244400000 | 8.10 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_S31 | Baikal | Lacustrine | Russia, Baikal | 52.290300000 | 106.222600000 | 8.10 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_S51 | Baikal | Lacustrine | Russia, Baikal | 52.303100000 | 106.199800000 | 8.00 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B11 | Baikal | Lacustrine | Russia, Baikal | 52.278500000 | 106.244400000 | 7.90 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B31 | Baikal | Lacustrine | Russia, Baikal | 52.290300000 | 106.222600000 | 7.90 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_B51 | Baikal | Lacustrine | Russia, Baikal | 52.303100000 | 106.199800000 | 8.00 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_Ba1 | Baikal | Lacustrine | Russia, Baikal | 51.891900000 | 104.823300000 | 8.80 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| De_Jonge_2015_Baikal Baikal_MIR1 | Baikal | Lacustrine | Russia, Baikal | 51.945300000 | 100.788400000 | 5.60 | De Jonge et al. (2015a)/Khodzher et al. (2017) | ACA | ||
| Zhao_2020 B1-1-a | B1-1-a | Bone | China | 49.280000000 | 118.030000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B1-1-b | B1-1-b | Bone | China | 49.280000000 | 118.030000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B1-2-b | B1-2-b | Bone | China | 49.280000000 | 118.030000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B2-1-a | B2-1-a | Bone | China | 48.210000000 | 118.270000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B2-1-b | B2-1-b | Bone | China | 48.210000000 | 118.270000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B3-1-a | B3-1-a | Bone | China | 47.920000000 | 118.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B3-1-b | B3-1-b | Bone | China | 47.920000000 | 118.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B3-2-a | B3-2-a | Bone | China | 47.920000000 | 118.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B4-1-a | B4-1-a | Bone | China | 47.540000000 | 119.410000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B5-1-a | B5-1-a | Bone | China | 47.290000000 | 119.860000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B5-1-b | B5-1-b | Bone | China | 47.290000000 | 119.860000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B6-1-a | B6-1-a | Bone | China | 46.540000000 | 120.200000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B6-1-b | B6-1-b | Bone | China | 46.540000000 | 120.200000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B7-1-a | B7-1-a | Bone | China | 46.230000000 | 120.970000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B7-1-b | B7-1-b | Bone | China | 46.230000000 | 120.970000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B10-1-a | B10-1-a | Bone | China | 43.920000000 | 116.310000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B11-1-a | B11-1-a | Bone | China | 43.920000000 | 115.620000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B13-1-a | B13-1-a | Bone | China | 43.830000000 | 113.700000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B13-1-b | B13-1-b | Bone | China | 43.830000000 | 113.700000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B14-1-a | B14-1-a | Bone | China | 42.730000000 | 112.640000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B15-1-a | B15-1-a | Bone | China | 42.020000000 | 112.050000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B15-1-b | B15-1-b | Bone | China | 42.020000000 | 112.050000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B16-1-a | B16-1-a | Bone | China | 40.850000000 | 111.620000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B16-1-b | B16-1-b | Bone | China | 40.850000000 | 111.620000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B17-1-b | B17-1-b | Bone | China | 41.540000000 | 111.690000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B18-1-a | B18-1-a | Bone | China | 38.140000000 | 100.920000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B18-1-b | B18-1-b | Bone | China | 38.140000000 | 100.920000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B18-2 | B18-2 | Bone | China | 38.140000000 | 100.920000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B18-3 | B18-3 | Bone | China | 38.140000000 | 100.920000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B19-1 | B19-1 | Bone | China | 38.200000000 | 100.930000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B19-2 | B19-2 | Bone | China | 38.200000000 | 100.930000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B19-3 | B19-3 | Bone | China | 38.200000000 | 100.930000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B20-1 | B20-1 | Bone | China | 38.070000000 | 102.360000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B21-1-b | B21-1-b | Bone | China | 38.000000000 | 100.920000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B22-1 | B22-1 | Bone | China | 37.900000000 | 102.640000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B23-1 | B23-1 | Bone | China | 37.570000000 | 102.870000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B24-1 | B24-1 | Bone | China | 37.160000000 | 102.870000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B24-2 | B24-2 | Bone | China | 37.160000000 | 102.870000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B25-1 | B25-1 | Bone | China | 36.700000000 | 103.280000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B26-1 | B26-1 | Bone | China | 35.800000000 | 104.290000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B27-1 | B27-1 | Bone | China | 34.620000000 | 105.390000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B27-2 | B27-2 | Bone | China | 34.620000000 | 105.390000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B28-1 | B28-1 | Bone | China | 34.450000000 | 105.990000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B28-2 | B28-2 | Bone | China | 34.450000000 | 105.990000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B29-1-a | B29-1-a | Bone | China | 34.490000000 | 105.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B29-1-b | B29-1-b | Bone | China | 34.490000000 | 105.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B29-2 | B29-2 | Bone | China | 34.490000000 | 105.710000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B30-1-b | B30-1-b | Bone | China | 37.470000000 | 101.420000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B31-1 | B31-1 | Bone | China | 37.770000000 | 101.200000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B32-1 | B32-1 | Bone | China | 37.340000000 | 101.400000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B32-2 | B32-2 | Bone | China | 37.340000000 | 101.400000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B33-1-a | B33-1-a | Bone | China | 37.240000000 | 101.470000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B33-2-a | B33-2-a | Bone | China | 37.240000000 | 101.470000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B33-3 | B33-3 | Bone | China | 37.240000000 | 101.470000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B33-4 | B33-4 | Bone | China | 37.240000000 | 101.470000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B34-1 | B34-1 | Bone | China | 37.190000000 | 101.540000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B34-2 | B34-2 | Bone | China | 37.190000000 | 101.540000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B35-1 | B35-1 | Bone | China | 36.970000000 | 101.650000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B36-1 | B36-1 | Bone | China | 36.040000000 | 101.410000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B36-2 | B36-2 | Bone | China | 36.040000000 | 101.410000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B37-1 | B37-1 | Bone | China | 35.750000000 | 101.060000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B38-1 | B38-1 | Bone | China | 35.500000000 | 101.090000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B39-1 | B39-1 | Bone | China | 35.330000000 | 100.250000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B39-2 | B39-2 | Bone | China | 35.330000000 | 100.250000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B39-3 | B39-3 | Bone | China | 35.330000000 | 100.250000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B72-1 | B72-1 | Bone | China | 34.380000000 | 106.670000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B72-2 | B72-2 | Bone | China | 34.380000000 | 106.670000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B72-3 | B72-3 | Bone | China | 34.380000000 | 106.670000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B73-1 | B73-1 | Bone | China | 34.300000000 | 106.380000000 | Zhao et al. (2020) | ACA | |||
| Zhao_2020 B73-2 | B73-2 | Bone | China | 34.300000000 | 106.380000000 | Zhao et al. (2020) | ACA | |||
| Duan_2021 TOP431 | TOP43 | Soil | Northern Iran | 37.324952780 | 55.479752780 | 8.15 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP421 | TOP42 | Soil | Northern Iran | 37.332280560 | 55.483941670 | 8.18 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP411 | TOP41 | Soil | Northern Iran | 37.339147220 | 55.488000000 | 7.99 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP441 | TOP44 | Soil | Northern Iran | 37.315216670 | 55.473530560 | 8.09 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP451 | TOP45 | Soil | Northern Iran | 37.308819440 | 55.470441670 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 IR14-S9-T1 | IR14-S9-T | Soil | Northern Iran | 37.638250000 | 55.149466670 | 8.71 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP261 | TOP26 | Soil | Northern Iran | 37.485736110 | 55.514661110 | 8.23 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP481 | TOP48 | Soil | Northern Iran | 37.282550000 | 55.442380560 | 8.12 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP461 | TOP46 | Soil | Northern Iran | 37.298522220 | 55.461955560 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP301 | TOP30 | Soil | Northern Iran | 37.438794440 | 55.497352780 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP391 | TOP39 | Soil | Northern Iran | 37.369416670 | 55.506138890 | 8.30 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP271 | TOP27 | Soil | Northern Iran | 37.479091670 | 55.514147220 | 8.40 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP71 | TOP7 | Soil | Northern Iran | 37.790000000 | 55.940000000 | 8.53 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP291 | TOP29 | Soil | Northern Iran | 37.451697220 | 55.507427780 | 8.14 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP251 | TOP25 | Soil | Northern Iran | 37.505155560 | 55.536327780 | 8.27 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP371 | TOP37 | Soil | Northern Iran | 37.392075000 | 55.501944440 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP321 | TOP32 | Soil | Northern Iran | 37.425450000 | 55.494100000 | 8.22 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP521 | TOP52 | Soil | Northern Iran | 37.261033330 | 55.428791670 | 8.35 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP361 | TOP36 | Soil | Northern Iran | 37.398533330 | 55.504372220 | 7.95 | Duan et al. (2021) | ACA | ||
| Duan_2021 IR14-S4-T1 | IR14-S4-T | Soil | Northern Iran | 37.751783330 | 55.256566670 | 8.77 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP241 | TOP24 | Soil | Northern Iran | 37.526144440 | 55.558869440 | 8.26 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP331 | TOP33 | Soil | Northern Iran | 37.418419440 | 55.493319440 | 8.44 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP281 | TOP28 | Soil | Northern Iran | 37.465572220 | 55.521069440 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP381 | TOP38 | Soil | Northern Iran | 37.377288890 | 55.510622220 | 7.99 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP351 | TOP35 | Soil | Northern Iran | 37.402594440 | 55.499516670 | 8.19 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP341 | TOP34 | Soil | Northern Iran | 37.412708330 | 55.492811110 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP201 | TOP20 | Soil | Northern Iran | 37.581313890 | 55.628361110 | 8.09 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP491 | TOP49 | Soil | Northern Iran | 37.253377780 | 55.460380560 | 7.86 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP191 | TOP19 | Soil | Northern Iran | 37.599577780 | 55.642166670 | 7.84 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP231 | TOP23 | Soil | Northern Iran | 37.540547220 | 55.590183330 | 8.31 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP181 | TOP18 | Soil | Northern Iran | 37.608736110 | 55.652208330 | 8.12 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP14 | TOP1 | Soil | Northern Iran | 37.890869440 | 55.957491670 | 8.20 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP221 | TOP22 | Soil | Northern Iran | 37.554866670 | 55.623561110 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP210 | TOP2 | Soil | Northern Iran | 37.885147220 | 55.962916670 | 8.13 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP211 | TOP21 | Soil | Northern Iran | 37.568633330 | 55.629402780 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP171 | TOP17 | Soil | Northern Iran | 37.623447220 | 55.686411110 | 8.18 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP1651 | TOP165 | Soil | Northern Iran | 37.634641670 | 55.701136110 | 8.08 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP47 | TOP4 | Soil | Northern Iran | 37.842483330 | 55.952763890 | 7.87 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP31 | TOP3 | Soil | Northern Iran | 37.863408330 | 55.963386110 | 8.37 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP161 | TOP16 | Soil | Northern Iran | 37.648116670 | 55.706950000 | 8.22 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP151 | TOP15 | Soil | Northern Iran | 37.656136110 | 55.733361110 | 8.34 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP131 | TOP13 | Soil | Northern Iran | 37.687347220 | 55.749213890 | 8.33 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP51 | TOP5 | Soil | Northern Iran | 37.823980560 | 55.952075000 | 8.27 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP501 | TOP50 | Soil | Northern Iran | 37.246272220 | 55.506716670 | 7.56 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP121 | TOP12 | Soil | Northern Iran | 37.703536110 | 55.791286110 | 8.32 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP111 | TOP11 | Soil | Northern Iran | 37.720469440 | 55.851044440 | 8.20 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP91 | TOP9 | Soil | Northern Iran | 37.742238890 | 55.904913890 | 8.07 | Duan et al. (2021) | ACA | ||
| Duan_2021 TOP81 | TOP8 | Soil | Northern Iran | 37.770861110 | 55.938063890 | 8.11 | Duan et al. (2021) | ACA | ||
| Duan_2020 MS1-11 | MS1-1 | Soil | China, Tian Shan | 44.300000000 | 84.900000000 | 8.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS2-11 | MS2-1 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 7.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS2-21 | MS2-2 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 7.40 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS3-11 | MS3-1 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS3-21 | MS3-2 | Soil | China, Tian Shan | 44.200000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS4-11 | MS4-1 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 6.80 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS4-21 | MS4-2 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 7.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS5-11 | MS5-1 | Soil | China, Tian Shan | 44.100000000 | 84.800000000 | 6.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS6-11 | MS6-1 | Soil | China, Tian Shan | 43.900000000 | 84.500000000 | 7.10 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS6-21 | MS6-2 | Soil | China, Tian Shan | 43.900000000 | 84.500000000 | 7.20 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS7-11 | MS7-1 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 7.00 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS8-11 | MS8-1 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 6.60 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS8-21 | MS8-2 | Soil | China, Tian Shan | 43.800000000 | 84.500000000 | 6.40 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS9-11 | MS9-1 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 6.60 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS9-21 | MS9-2 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 6.70 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS10-11 | MS10-1 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 5.30 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS10-21 | MS10-2 | Soil | China, Tian Shan | 43.800000000 | 84.400000000 | 5.50 | Duan et al. (2020) | ACA | ||
| Duan_2020 MS11-11 | MS11-1 | Soil | China, Tian Shan | 43.700000000 | 84.400000000 | 5.90 | Duan et al. (2020) | ACA | ||
| Kou_2022 YZY11-1S1 | YZY11-1S | Soil | China, Tibet | 29.167500000 | 90.517500000 | Kou et al. (2022) | ACA | |||
| Kou_2022 YZY11-2S1 | YZY11-2S | Soil | China, Tibet | 28.776388890 | 90.603888890 | Kou et al. (2022) | ACA | |||
| Kou_2022 PMY11S1 | PMY11S | Soil | China, Tibet | 28.594166670 | 90.501944440 | Kou et al. (2022) | ACA | |||
| Kou_2022 LC12S1 | LC12S | Soil | China, Tibet | 29.210350000 | 87.415600000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZX12S1 | ZX12S | Soil | China, Tibet | 33.106910000 | 80.162350000 | Kou et al. (2022) | ACA | |||
| Kou_2022 DZ12S1 | DZ12S | Soil | China, Tibet | 31.821610000 | 87.552130000 | Kou et al. (2022) | ACA | |||
| Kou_2022 CE12S1 | CE12S | Soil | China, Tibet | 31.686280000 | 88.711790000 | Kou et al. (2022) | ACA | |||
| Kou_2022 GM12S1 | GM12S | Soil | China, Tibet | 31.564540000 | 87.350100000 | Kou et al. (2022) | ACA | |||
| Kou_2022 LG12S1 | LG12S | Soil | China, Tibet | 32.075740000 | 84.188180000 | Kou et al. (2022) | ACA | |||
| Kou_2022 KKXL19S1 | KKXL19S | Soil | China, Tibet | 35.692812000 | 91.223024000 | Kou et al. (2022) | ACA | |||
| Kou_2022 TY19S1 | TY19S | Soil | China, Tibet | 35.943157000 | 90.814139000 | Kou et al. (2022) | ACA | |||
| Kou_2022 XJ19S1 | XJ19S | Soil | China, Tibet | 35.139241000 | 90.145732000 | Kou et al. (2022) | ACA | |||
| Kou_2022 TLS19S1 | TLS19S | Soil | China, Tibet | 34.852667000 | 92.143975000 | Kou et al. (2022) | ACA | |||
| Kou_2022 LXWD19S1 | LXWD19S | Soil | China, Tibet | 35.752624000 | 90.378540000 | Kou et al. (2022) | ACA | |||
| Kou_2022 WLWL19S1 | WLWL19S | Soil | China, Tibet | 34.932248000 | 90.736803000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZN19S1 | ZN19S | Soil | China, Tibet | 35.501647000 | 92.017930000 | Kou et al. (2022) | ACA | |||
| Kou_2022 PY20S1 | PY20S | Soil | China, Tibet | 32.936142000 | 88.227542000 | Kou et al. (2022) | ACA | |||
| Kou_2022 YBCK20S1 | YBCK20S | Soil | China, Tibet | 32.918286000 | 86.669099000 | Kou et al. (2022) | ACA | |||
| Kou_2022 ZGT20S1 | ZGT20S | Soil | China, Tibet | 32.021569000 | 90.842366000 | Kou et al. (2022) | ACA | |||
| Kou_2022 AY20S1 | AY20S | Soil | China, Tibet | 37.471033000 | 89.936051000 | Kou et al. (2022) | ACA | |||
| Kou_2022 JY20S1 | JY20S | Soil | China, Tibet | 36.463684000 | 89.258732000 | Kou et al. (2022) | ACA | |||
| Kou_2022 AQ20S1 | AQ20S | Soil | China, Tibet | 37.153964000 | 88.560561000 | Kou et al. (2022) | ACA | |||
| Kou_2022 Tangra Yumco1 | Tangra Yumco | Lacustrine | China, Tibet | 31.266170000 | 86.642620000 | 9.29 | 7.310 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_21 | Tangra Yumco | Lacustrine | China, Tibet | 31.259690000 | 86.638680000 | 9.29 | 7.310 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_31 | Tangra Yumco | Lacustrine | China, Tibet | 31.368270000 | 86.664390000 | 9.29 | 7.160 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_41 | Tangra Yumco | Lacustrine | China, Tibet | 31.339690000 | 86.656720000 | 9.29 | 7.320 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_51 | Tangra Yumco | Lacustrine | China, Tibet | 31.270090000 | 86.650660000 | 9.29 | 7.300 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Tangra Yumco_61 | Tangra Yumco | Lacustrine | China, Tibet | 31.350000000 | 86.720000000 | 9.34 | 7.300 | 1.57E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco1 | Zhari Namco | Lacustrine | China, Tibet | 30.888190000 | 85.626361110 | 9.90 | 2.000 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco_21 | Zhari Namco | Lacustrine | China, Tibet | 30.889500000 | 85.477388890 | 9.90 | 11.300 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhari Namco_31 | Zhari Namco | Lacustrine | China, Tibet | 30.921110000 | 85.402940000 | 9.90 | 10.100 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Puma Yumco1 | Puma Yumco | Lacustrine | China, Tibet | 28.607910000 | 90.300950000 | 9.05 | 11.000 | 2.63E002 | Kou et al. (2022) | ACA |
| Kou_2022 Puma Yumco_21 | Puma Yumco | Lacustrine | China, Tibet | 28.615610000 | 90.450580000 | 9.05 | 11.000 | 2.63E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake1 | Taruo Lake | Lacustrine | China, Tibet | 31.119530000 | 84.280200000 | 8.78 | 8.960 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake_21 | Taruo Lake | Lacustrine | China, Tibet | 31.140240000 | 84.209440000 | 8.78 | 9.200 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Taruo Lake_31 | Taruo Lake | Lacustrine | China, Tibet | 31.139880000 | 84.059160000 | 8.78 | 9.300 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co1 | Nam Co | Lacustrine | China, Tibet | 30.673680000 | 90.704290000 | 9.09 | 7.080 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co_21 | Nam Co | Lacustrine | China, Tibet | 30.847250000 | 90.925240000 | 9.09 | 7.060 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Nam Co_31 | Nam Co | Lacustrine | China, Tibet | 30.779610000 | 90.659590000 | 9.09 | 7.080 | 1.06E003 | Kou et al. (2022) | ACA |
| Kou_2022 Lang Co1 | Lang Co | Lacustrine | China, Tibet | 29.206823870 | 87.405032750 | 9.35 | 5.610 | 1.82E003 | Kou et al. (2022) | ACA |
| Kou_2022 Angrenjin Co1 | Angrenjin Co | Lacustrine | China, Tibet | 29.312851890 | 87.197704590 | 9.51 | 3.310 | 4.92E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dajiamang Co1 | Dajiamang Co | Lacustrine | China, Tibet | 29.673651020 | 85.733379820 | 6.060 | 1.51E002 | Kou et al. (2022) | ACA | |
| Kou_2022 Bangong Lake1 | Bangong Lake | Lacustrine | China, Tibet | 33.528011260 | 79.834800410 | 9.20 | 6.590 | 5.89E002 | Kou et al. (2022) | ACA |
| Kou_2022 Songmuxi Co1 | Songmuxi Co | Lacustrine | China, Tibet | 34.596258350 | 80.232002110 | 8.47 | 5.820 | 3.56E002 | Kou et al. (2022) | ACA |
| Kou_2022 Zongxiong Co1 | Zongxiong Co | Lacustrine | China, Tibet | 33.103243170 | 80.161040130 | 9.30 | 6.400 | 1.75E002 | Kou et al. (2022) | ACA |
| Kou_2022 Rebang Co1 | Rebang Co | Lacustrine | China, Tibet | 33.037687170 | 80.513834270 | 9.35 | 5.050 | 5.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 A'ong Co1 | A'ong Co | Lacustrine | China, Tibet | 32.750197780 | 81.742594440 | 9.20 | 4.800 | 4.60E004 | Kou et al. (2022) | ACA |
| Kou_2022 Bero Zeco1 | Bero Zeco | Lacustrine | China, Tibet | 32.423310300 | 82.955348990 | 8.97 | 4.900 | 7.46E004 | Kou et al. (2022) | ACA |
| Kou_2022 Darebu Co1 | Darebu Co | Lacustrine | China, Tibet | 32.469909550 | 83.202601450 | 9.35 | 7.500 | 1.70E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dawa Lake1 | Dawa Lake | Lacustrine | China, Tibet | 31.247538870 | 85.054601810 | 9.18 | 5.520 | 2.43E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dibu Co1 | Dibu Co | Lacustrine | China, Tibet | 30.803578330 | 84.826801200 | 9.63 | 4.980 | 2.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dibu Co_21 | Dibu Co | Lacustrine | China, Tibet | 30.819000000 | 84.828000000 | 9.63 | 5.530 | 2.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Qige Co1 | Qige Co | Lacustrine | China, Tibet | 31.195711520 | 85.517299270 | 10.47 | 7.010 | 1.90E002 | Kou et al. (2022) | ACA |
| Kou_2022 Caiji Co1 | Caiji Co | Lacustrine | China, Tibet | 31.199686790 | 85.448204680 | 9.30 | 5.590 | 4.38E003 | Kou et al. (2022) | ACA |
| Kou_2022 Zhangnai Co1 | Zhangnai Co | Lacustrine | China, Tibet | 31.546739750 | 87.385213010 | 9.60 | 5.470 | 4.96E003 | Kou et al. (2022) | ACA |
| Kou_2022 Gemang Co1 | Gemang Co | Lacustrine | China, Tibet | 31.575578490 | 87.308509680 | 9.90 | 5.860 | 9.87E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dagze Lake1 | Dagze Lake | Lacustrine | China, Tibet | 31.865868480 | 87.555375150 | 9.96 | 3.090 | 2.20E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Jargo1 | Lake Jargo | Lacustrine | China, Tibet | 31.857326430 | 88.300045070 | 9.08 | 6.220 | 2.90E002 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Jargo_21 | Lake Jargo | Lacustrine | China, Tibet | 31.820940000 | 88.221239000 | 9.48 | 5.900 | 3.03E002 | Kou et al. (2022) | ACA |
| Kou_2022 Longwe Lake1 | Longwe Lake | Lacustrine | China, Tibet | 33.856160000 | 88.321140000 | 8.25 | 5.700 | 1.89E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dogaicorng Qangco1 | Dogaicorng Qangco | Lacustrine | China, Tibet | 35.325970000 | 89.232680000 | 8.80 | 0.600 | 5.99E004 | Kou et al. (2022) | ACA |
| Kou_2022 Daxiong Lake1 | Daxiong Lake | Lacustrine | China, Tibet | 34.028801000 | 85.608589000 | 9.20 | 8.200 | 2.15E004 | Kou et al. (2022) | ACA |
| Kou_2022 Burog Co1 | Burog Co | Lacustrine | China, Tibet | 34.417000000 | 85.779000000 | 9.30 | 1.600 | 8.46E003 | Kou et al. (2022) | ACA |
| Kou_2022 Mang Co (Mangkang)1 | Mang Co (Mangkang) | Lacustrine | China, Tibet | 29.527050000 | 98.835990000 | 8.20 | 11.700 | 1.30E002 | Kou et al. (2022) | ACA |
| Kou_2022 Bangda Lake1 | Bangda Lake | Lacustrine | China, Tibet | 34.960733000 | 81.592933000 | 8.38 | 3.370 | 7.43E004 | Kou et al. (2022) | ACA |
| Kou_2022 Longmu Lake1 | Longmu Lake | Lacustrine | China, Tibet | 34.602306000 | 80.420280000 | 7.88 | 5.400 | 1.33E005 | Kou et al. (2022) | ACA |
| Kou_2022 Mang Co1 | Mang Co | Lacustrine | China, Tibet | 34.509000000 | 80.447000000 | 8.28 | 4.200 | 8.27E004 | Kou et al. (2022) | ACA |
| Kou_2022 Aksai Chin Lake1 | Aksai Chin Lake | Lacustrine | China, Tibet | 35.171430000 | 79.828370000 | 8.57 | 0.800 | 5.08E004 | Kou et al. (2022) | ACA |
| Kou_2022 Gozha Co1 | Gozha Co | Lacustrine | China, Tibet | 35.022273000 | 81.060348000 | 9.00 | 7.110 | 5.66E003 | Kou et al. (2022) | ACA |
| Kou_2022 Xinxing Lake1 | Xinxing Lake | Lacustrine | China, Tibet | 34.786400000 | 80.751500000 | 8.30 | 5.600 | 3.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Dorsoidong Co1 | Dorsoidong Co | Lacustrine | China, Tibet | 33.325000000 | 89.895000000 | 9.10 | 0.330 | 9.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 Chibzhang Co1 | Chibzhang Co | Lacustrine | China, Tibet | 33.376210000 | 90.236230000 | 9.10 | 5.100 | 9.26E003 | Kou et al. (2022) | ACA |
| Kou_2022 Dogai Coring1 | Dogai Coring | Lacustrine | China, Tibet | 34.552950000 | 88.980610000 | 7.35 | 3.700 | 1.64E005 | Kou et al. (2022) | ACA |
| Kou_2022 Tso Ngon1 | Tso Ngon | Lacustrine | China, Tibet | 31.657600000 | 88.818430000 | 8.92 | 6.260 | 3.01E002 | Kou et al. (2022) | ACA |
| Kou_2022 Kering Tso1 | Kering Tso | Lacustrine | China, Tibet | 31.210990000 | 88.194180000 | 9.55 | 6.500 | 2.37E002 | Kou et al. (2022) | ACA |
| Kou_2022 Kering Tso_21 | Kering Tso | Lacustrine | China, Tibet | 31.015160000 | 88.485080000 | 9.55 | 6.400 | 2.37E002 | Kou et al. (2022) | ACA |
| Kou_2022 Ang Laren Lake1 | Ang Laren Lake | Lacustrine | China, Tibet | 31.574000000 | 83.038433330 | 10.00 | 7.700 | 1.62E004 | Kou et al. (2022) | ACA |
| Kou_2022 Rengqingxiubu Lake1 | Rengqingxiubu Lake | Lacustrine | China, Tibet | 31.277350000 | 83.464595000 | 10.40 | 5.300 | 2.97E003 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Manasarovar1 | Lake Manasarovar | Lacustrine | China, Tibet | 30.633835000 | 81.437805000 | 8.95 | 7.850 | 3.24E002 | Kou et al. (2022) | ACA |
| Kou_2022 Lhanag-tso1 | Lhanag-tso | Lacustrine | China, Tibet | 30.669180000 | 81.251595000 | 8.49 | 8.600 | 1.03E003 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co1 | Siling Co | Lacustrine | China, Tibet | 31.958990000 | 89.069630000 | 9.50 | 5.880 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co_21 | Siling Co | Lacustrine | China, Tibet | 31.897760000 | 89.099680000 | 9.50 | 5.600 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Siling Co_31 | Siling Co | Lacustrine | China, Tibet | 31.771730000 | 89.147170000 | 9.50 | 6.300 | 1.14E004 | Kou et al. (2022) | ACA |
| Kou_2022 Angzi Co1 | Angzi Co | Lacustrine | China, Tibet | 31.008570000 | 87.087110000 | 9.68 | 0.600 | 7.91E003 | Kou et al. (2022) | ACA |
| Kou_2022 Tong Tso1 | Tong Tso | Lacustrine | China, Tibet | 32.175836000 | 84.727364000 | 9.02 | 7.420 | 3.76E004 | Kou et al. (2022) | ACA |
| Kou_2022 Cam Co1 | Cam Co | Lacustrine | China, Tibet | 32.109502000 | 83.554312000 | 8.63 | 1.500 | 1.31E005 | Kou et al. (2022) | ACA |
| Kou_2022 Lagkor Co1 | Lagkor Co | Lacustrine | China, Tibet | 32.038451000 | 84.139154000 | 8.84 | 6.860 | 5.77E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lumajangdong Co1 | Lumajangdong Co | Lacustrine | China, Tibet | 34.012516000 | 81.677134000 | 9.60 | 1.800 | 1.61E004 | Kou et al. (2022) | ACA |
| Kou_2022 Jieze Caka1 | Jieze Caka | Lacustrine | China, Tibet | 33.942000000 | 80.881000000 | 9.00 | 7.000 | 1.23E005 | Kou et al. (2022) | ACA |
| Kou_2022 Dajia Lake1 | Dajia Lake | Lacustrine | China, Tibet | 29.812687000 | 85.730921000 | 9.45 | 3.560 | 2.92E003 | Kou et al. (2022) | ACA |
| Kou_2022 Tso Ngon (Naqu)1 | Tso Ngon (Naqu) | Lacustrine | China, Tibet | 31.492080000 | 91.512745000 | 8.79 | 6.810 | 5.28E003 | Kou et al. (2022) | ACA |
| Kou_2022 Neri Pumco1 | Neri Pumco | Lacustrine | China, Tibet | 31.303370000 | 91.462937000 | 9.40 | 6.210 | 9.39E003 | Kou et al. (2022) | ACA |
| Kou_2022 Cona1 | Cona | Lacustrine | China, Tibet | 32.048588000 | 91.469388000 | 8.60 | 5.530 | 5.05E002 | Kou et al. (2022) | ACA |
| Kou_2022 Dung Co1 | Dung Co | Lacustrine | China, Tibet | 31.672970000 | 91.166520000 | 9.45 | 6.300 | 1.76E004 | Kou et al. (2022) | ACA |
| Kou_2022 Pung Co1 | Pung Co | Lacustrine | China, Tibet | 31.497923000 | 90.938827000 | 9.05 | 3.350 | 1.12E004 | Kou et al. (2022) | ACA |
| Kou_2022 Darao Co1 | Darao Co | Lacustrine | China, Tibet | 31.696340000 | 90.740820000 | 9.28 | 8.570 | 6.34E003 | Kou et al. (2022) | ACA |
| Kou_2022 Bam Co1 | Bam Co | Lacustrine | China, Tibet | 31.168175000 | 90.548035000 | 9.12 | 3.050 | 1.10E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yoqag Co1 | Yoqag Co | Lacustrine | China, Tibet | 30.476080000 | 88.623800000 | 8.80 | 6.000 | 2.67E002 | Kou et al. (2022) | ACA |
| Kou_2022 Mugqu Co1 | Mugqu Co | Lacustrine | China, Tibet | 31.039290000 | 89.012630000 | 9.30 | 5.200 | 1.80E002 | Kou et al. (2022) | ACA |
| Kou_2022 Gomang Co1 | Gomang Co | Lacustrine | China, Tibet | 31.209260000 | 89.204260000 | 9.90 | 4.700 | 1.16E004 | Kou et al. (2022) | ACA |
| Kou_2022 Urru Co1 | Urru Co | Lacustrine | China, Tibet | 31.711968000 | 87.940146000 | 9.60 | 6.700 | 3.66E002 | Kou et al. (2022) | ACA |
| Kou_2022 Serbug Co1 | Serbug Co | Lacustrine | China, Tibet | 32.005396000 | 88.228713000 | 9.60 | 5.500 | 1.04E004 | Kou et al. (2022) | ACA |
| Kou_2022 Norma Co1 | Norma Co | Lacustrine | China, Tibet | 32.397591000 | 88.063762000 | 10.10 | 5.400 | 2.71E004 | Kou et al. (2022) | ACA |
| Kou_2022 Kyebxang Co1 | Kyebxang Co | Lacustrine | China, Tibet | 32.447865000 | 89.986981000 | 10.20 | 2.850 | 4.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake1 | Yamdrok Lake | Lacustrine | China, Tibet | 28.837759000 | 90.614069000 | 9.28 | 6.700 | 1.58E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake_21 | Yamdrok Lake | Lacustrine | China, Tibet | 29.063760000 | 90.695690000 | 9.28 | 6.400 | 1.58E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yamdrok Lake_31 | Yamdrok Lake | Lacustrine | China, Tibet | 28.947687000 | 90.866612000 | 9.28 | 5.900 | 1.59E003 | Kou et al. (2022) | ACA |
| Kou_2022 Telashi Lake1 | Telashi Lake | Lacustrine | China, Tibet | 34.807606000 | 92.242007000 | 8.40 | 8.600 | 2.59E004 | Kou et al. (2022) | ACA |
| Kou_2022 Wulanwula Lake1 | Wulanwula Lake | Lacustrine | China, Tibet | 34.858560000 | 90.367244000 | 7.88 | 10.500 | 1.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Wulanwula Lake_21 | Wulanwula Lake | Lacustrine | China, Tibet | 34.766246000 | 90.669564000 | 7.00 | 10.500 | 1.35E004 | Kou et al. (2022) | ACA |
| Kou_2022 Xijir Ulan Lake1 | Xijir Ulan Lake | Lacustrine | China, Tibet | 35.204984000 | 90.325991000 | 10.240 | 1.62E005 | Kou et al. (2022) | ACA | |
| Kou_2022 Lexie Wudan Lake1 | Lexie Wudan Lake | Lacustrine | China, Tibet | 35.744310000 | 90.201196000 | 7.00 | 0.400 | 1.15E005 | Kou et al. (2022) | ACA |
| Kou_2022 Taiyang Lake1 | Taiyang Lake | Lacustrine | China, Tibet | 35.925053000 | 90.623673000 | 8.10 | 9.600 | 6.04E002 | Kou et al. (2022) | ACA |
| Kou_2022 Hoh Xil Lake1 | Hoh Xil Lake | Lacustrine | China, Tibet | 35.574504000 | 91.235542000 | 8.80 | 11.100 | 1.27E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zigetang Co1 | Zigetang Co | Lacustrine | China, Tibet | 32.078964000 | 90.895852000 | 10.10 | 6.790 | 1.74E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zigetang Co_21 | Zigetang Co | Lacustrine | China, Tibet | 32.056774000 | 90.944170000 | 10.10 | 5.690 | 1.74E004 | Kou et al. (2022) | ACA |
| Kou_2022 Yagain Co1 | Yagain Co | Lacustrine | China, Tibet | 33.043803000 | 89.795208000 | 8.40 | 5.200 | 1.19E005 | Kou et al. (2022) | ACA |
| Kou_2022 Yahu Lake1 | Yahu Lake | Lacustrine | China, Tibet | 33.174534000 | 89.068833000 | 8.78 | 5.700 | 9.49E004 | Kou et al. (2022) | ACA |
| Kou_2022 Angda'er Co1 | Angda'er Co | Lacustrine | China, Tibet | 32.699465000 | 89.570890000 | 9.65 | 1.200 | 1.08E005 | Kou et al. (2022) | ACA |
| Kou_2022 Pongyin Co1 | Pongyin Co | Lacustrine | China, Tibet | 32.895513890 | 88.207705560 | 8.75 | 4.400 | 2.28E005 | Kou et al. (2022) | ACA |
| Kou_2022 Baidoi Co1 | Baidoi Co | Lacustrine | China, Tibet | 32.792735000 | 87.822984000 | 9.60 | 5.800 | 3.75E003 | Kou et al. (2022) | ACA |
| Kou_2022 Yibug Caka1 | Yibug Caka | Lacustrine | China, Tibet | 32.969779000 | 86.708627000 | 8.40 | 4.300 | 7.17E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Ayakum1 | Lake Ayakum | Lacustrine | China, Tibet | 37.552253000 | 89.483765000 | 8.70 | 1.600 | 1.11E005 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Ayakum_21 | Lake Ayakum | Lacustrine | China, Tibet | 37.565341000 | 89.242834000 | 8.70 | 4.700 | 9.66E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol1 | Lake Aqqikkol | Lacustrine | China, Tibet | 37.074024000 | 88.537989000 | 8.78 | 8.200 | 6.55E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol_21 | Lake Aqqikkol | Lacustrine | China, Tibet | 37.113989000 | 88.293771000 | 8.78 | 6.800 | 5.07E004 | Kou et al. (2022) | ACA |
| Kou_2022 Lake Aqqikkol_31 | Lake Aqqikkol | Lacustrine | China, Tibet | 37.110107000 | 88.462369000 | 8.78 | 0.150 | 5.38E004 | Kou et al. (2022) | ACA |
| Kou_2022 Jingyu Lake1 | Jingyu Lake | Lacustrine | China, Tibet | 36.246263000 | 89.585284000 | 8.95 | 10.000 | 2.13E004 | Kou et al. (2022) | ACA |
| Kou_2022 Zhuonai Lake1 | Zhuonai Lake | Lacustrine | China, Tibet | 35.557805000 | 91.939149000 | 8.80 | 3.800 | 7.42E003 | Kou et al. (2022) | ACA |
| Wang_2021 Dalongchi1 | Dalongchi | Lacustrine | ACA lakes | 42.450000000 | 83.300000000 | 1.00E001 | Wang et al. (2021) | ACA | ||
| Wang_2021 Songshu1 | Songshu | Lacustrine | ACA lakes | 47.390000000 | 120.470000000 | 9.43 | 1.00E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Songye1 | Songye | Lacustrine | ACA lakes | 47.400000000 | 120.670000000 | 10.10 | 3.30E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Xianhe1 | Xianhe | Lacustrine | ACA lakes | 47.340000000 | 120.440000000 | 10.18 | 4.50E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Kanas1 | Kanas | Lacustrine | ACA lakes | 48.783333330 | 87.016666670 | 7.30 | 6.70E001 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi1 | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.340000000 | 9.88 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi_21 | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.330000000 | 10.08 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Wusulangzi_31 | Wusulangzi | Lacustrine | ACA lakes | 47.300000000 | 120.340000000 | 10.04 | 1.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Achit Nuur1 | Achit Nuur | Lacustrine | ACA lakes | 49.502825000 | 90.543766670 | 7.70 | 3.00E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Jili1 | Jili | Lacustrine | ACA lakes | 46.933333330 | 87.400000000 | 8.91 | 4.10E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Hurleg1 | Hurleg | Lacustrine | ACA lakes | 37.266666670 | 96.883333330 | 8.00 | 7.90E002 | Wang et al. (2021) | ACA | |
| Wang_2021 Heihu1 | Heihu | Lacustrine | ACA lakes | 48.683333330 | 87.183333330 | 1.00E003 | Wang et al. (2021) | ACA | ||
| Wang_2021 Shuanghu1 | Shuanghu | Lacustrine | ACA lakes | 48.866666670 | 87.033333330 | 1.00E003 | Wang et al. (2021) | ACA | ||
| Wang_2021 Genggahai1 | Genggahai | Lacustrine | ACA lakes | 36.183333330 | 100.150000000 | 9.10 | 1.20E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Ailike1 | Ailike | Lacustrine | ACA lakes | 45.990000000 | 85.825000000 | 9.27 | 1.45E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Ailike_21 | Ailike | Lacustrine | ACA lakes | 45.938333330 | 85.800000000 | 9.27 | 1.45E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun1 | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.780000000 | 9.67 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun_21 | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.790000000 | 9.48 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hulun_31 | Hulun | Lacustrine | ACA lakes | 49.140000000 | 117.790000000 | 9.53 | 1.47E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Bosten1 | Bosten | Lacustrine | ACA lakes | 42.000000000 | 87.050000000 | 8.65 | 1.48E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Wulungu1 | Wulungu | Lacustrine | ACA lakes | 47.300000000 | 87.283333330 | 8.99 | 2.34E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Sailimu1 | Sailimu | Lacustrine | ACA lakes | 44.583333330 | 81.166666670 | 8.80 | 3.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Airag Nuur1 | Airag Nuur | Lacustrine | ACA lakes | 48.923333330 | 93.394722220 | 9.60 | 3.82E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Dali1 | Dali | Lacustrine | ACA lakes | 43.370000000 | 116.660000000 | 9.90 | 4.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Dali_21 | Dali | Lacustrine | ACA lakes | 43.370000000 | 116.660000000 | 9.90 | 4.00E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Hara-Us-Nuur1 | Hara-Us-Nuur | Lacustrine | ACA lakes | 47.981500000 | 92.121077780 | 9.80 | 5.04E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Khirgis Nuur1 | Khirgis Nuur | Lacustrine | ACA lakes | 49.029444440 | 93.382222220 | 9.90 | 7.67E003 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai1 | Daihai | Lacustrine | ACA lakes | 40.580000000 | 112.650000000 | 9.21 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai_21 | Daihai | Lacustrine | ACA lakes | 40.590000000 | 112.650000000 | 9.22 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Daihai_31 | Daihai | Lacustrine | ACA lakes | 40.590000000 | 112.650000000 | 9.25 | 1.00E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Shaazghai1 | Shaazghai | Lacustrine | ACA lakes | 49.238055560 | 91.265833330 | 9.80 | 1.42E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Shaazghai_21 | Shaazghai | Lacustrine | ACA lakes | 49.238055560 | 91.265833330 | 9.80 | 1.42E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Lake Qinghai1 | Lake Qinghai | Lacustrine | ACA lakes | 36.718888890 | 100.656388900 | 9.14 | 1.50E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Toson1 | Toson | Lacustrine | ACA lakes | 37.116666670 | 96.950000000 | 8.90 | 1.59E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sugan1 | Sugan | Lacustrine | ACA lakes | 38.858333330 | 93.850000000 | 8.50 | 3.23E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sanggendalainaoer1 | Sanggendalainaoer | Lacustrine | ACA lakes | 42.660000000 | 115.760000000 | 10.24 | 5.60E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Sanggendalainaoer_21 | Sanggendalainaoer | Lacustrine | ACA lakes | 42.660000000 | 115.760000000 | 10.24 | 5.60E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Bayannaori1 | Bayannaori | Lacustrine | ACA lakes | 42.580000000 | 115.940000000 | 10.13 | 5.70E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Gahai1 | Gahai | Lacustrine | ACA lakes | 37.133333330 | 97.558333330 | 8.28 | 9.06E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Jamantuz Lake1 | Jamantuz Lake | Lacustrine | ACA lakes | 54.051694440 | 69.219583330 | 8.50 | 9.93E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Jamantuz Lake_21 | Jamantuz Lake | Lacustrine | ACA lakes | 54.051694440 | 69.219583330 | 8.50 | 9.93E004 | Wang et al. (2021) | ACA | |
| Wang_2021 Aibi1 | Aibi | Lacustrine | ACA lakes | 44.900000000 | 83.000000000 | 8.09 | 1.12E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Kishi-Karoi1 | Kishi-Karoi | Lacustrine | ACA lakes | 53.997333330 | 71.277216670 | 6.00 | 2.01E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Balikun1 | Balikun | Lacustrine | ACA lakes | 43.666666670 | 92.800000000 | 7.60 | 2.05E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Tuolekule1 | Tuolekule | Lacustrine | ACA lakes | 43.400000000 | 94.216666670 | 7.43 | 2.70E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Kyzylkak1 | Kyzylkak | Lacustrine | ACA lakes | 53.363783330 | 73.793950000 | 3.00E005 | Wang et al. (2021) | ACA | ||
| Wang_2021 SeletyTeniz1 | SeletyTeniz | Lacustrine | ACA lakes | 53.286800000 | 73.427550000 | 3.00E005 | Wang et al. (2021) | ACA | ||
| Wang_2021 Kalibek1 | Kalibek | Lacustrine | ACA lakes | 53.942533330 | 70.625783330 | 6.50 | 3.07E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Manas1 | Manas | Lacustrine | ACA lakes | 45.833333330 | 85.966666670 | 6.87 | 3.28E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Manas_21 | Manas | Lacustrine | ACA lakes | 45.833333330 | 85.966666670 | 6.87 | 3.28E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Dongtai1 | Dongtai | Lacustrine | ACA lakes | 37.571936000 | 93.767103000 | 7.75 | 3.32E005 | Wang et al. (2021) | ACA | |
| Wang_2021 Teke1 | Teke | Lacustrine | ACA lakes | 53.918166670 | 72.923000000 | 7.48 | 3.76E005 | Wang et al. (2021) | ACA | |
| Dang_2018 Daihai1 | Daihai | Lacustrine | China | 40.580000000 | 112.670000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Daihai_21 | Daihai | Lacustrine | China | 40.580000000 | 112.660000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Daihai_31 | Daihai | Lacustrine | China | 40.590000000 | 112.650000000 | 9.00 | 1.10E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Lake Qinghai1 | Lake Qinghai | Lacustrine | China | 36.860000000 | 100.310000000 | 9.10 | 1.50E004 | Dang et al. (2018) | ACA | |
| Dang_2018 Lake Qinghai_21 | Lake Qinghai | Lacustrine | China | 36.730000000 | 100.310000000 | 9.00 | 1.50E004 | Dang et al. (2018) | ACA | |
| Kusch_2019_permafrost AG-0101 | AG-0101 | Soil | Siberia | 73.174444000 | 124.574722000 | 5.07 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost AG-0102 | AG-0102 | Soil | Siberia | 73.174444000 | 124.574722000 | 4.77 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost AG-0103 | AG-0103 | Soil | Siberia | 73.174167000 | 124.574722000 | 5.10 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost AG-0104 | AG-0104 | Soil | Siberia | 73.173889000 | 124.575000000 | 5.25 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost AG-0105 | AG-0105 | Soil | Siberia | 73.173056000 | 124.575833000 | 5.00 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost AG-0106 | AG-0106 | Soil | Siberia | 73.173056000 | 124.575556000 | 4.83 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost BK-8 | BK-8 | Soil | Siberia | 71.420278000 | 132.111111000 | Kusch et al. (2019) | World DB | |||
| Kusch_2019_permafrost KUB-C | KUB-C | Soil | Siberia | 72.323333000 | 126.222778000 | 5.14 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost KUB-R | KUB-R | Soil | Siberia | 72.323333000 | 126.222778000 | 4.97 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost KUU-C | KUU-C | Soil | Siberia | 72.325278000 | 126.265556000 | 4.80 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost KUU-R | KUU-R | Soil | Siberia | 72.325278000 | 126.265556000 | 5.22 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost L14-02 | L14-02 | Soil | Siberia | 73.336111000 | 141.327778000 | 6.69 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost L14-03 | L14-03 | Soil | Siberia | 73.334444000 | 141.328056000 | 5.10 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost L14-04 | L14-04 | Soil | Siberia | 73.341111000 | 141.285833000 | 6.41 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost L14-05 | L14-05 | Soil | Siberia | 73.341111000 | 141.285833000 | 4.95 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost SA-C | SA-C | Soil | Siberia | 72.372778000 | 126.484722000 | 5.23 | Kusch et al. (2019) | World DB | ||
| Kusch_2019_permafrost SA-R | SA-R | Soil | Siberia | 72.372778000 | 126.484722000 | 6.38 | Kusch et al. (2019) | World DB | ||
| Cao_2020 S1 | Gonghai | Soil | China | 38.900000000 | 112.230000000 | 6.74E002 | Cao et al. (2020) | World DB | ||
| Cao_2020 S2 | Gonghai | Soil | China | 38.900000000 | 112.230000000 | 6.74E002 | Cao et al. (2020) | World DB | ||
| Cao_2020 S3 | Gonghai | Soil | China | 38.900000000 | 112.230000000 | 6.74E002 | Cao et al. (2020) | World DB | ||
| Cao_2020 S4 | Gonghai | Soil | China | 38.900000000 | 112.230000000 | 6.74E002 | Cao et al. (2020) | World DB | ||
| Cao_2020 S5 | Gonghai | Soil | China | 38.900000000 | 112.230000000 | 6.74E002 | Cao et al. (2020) | World DB | ||
| De Jonge 2019 1A | 1A | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.50 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 1B | 1B | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.90 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 1C | 1C | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.20 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 1D | 1D | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.20 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 1E | 1E | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.30 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 1F | 1F | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.90 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2A | 2A | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.30 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2B | 2B | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.60 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2C | 2C | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.80 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2D | 2D | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.60 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2E | 2E | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.30 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 2F | 2F | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.30 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3A | 3A | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.70 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3B | 3B | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.00 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3C | 3C | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.80 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3D | 3D | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.70 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3E | 3E | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.80 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 3F | 3F | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.80 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4A | 4A | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.70 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4B | 4B | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.00 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4C | 4C | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.40 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4D | 4D | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.40 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4E | 4E | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.90 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 4F | 4F | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.60 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5A | 5A | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 7.00 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5B | 5B | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 6.40 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5C | 5C | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.70 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5D | 5D | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.40 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5E | 5E | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.80 | De Jonge et al. (2019) | World DB | ||
| De Jonge 2019 5F | 5F | Soil | Iceland ForHot | 64.008000000 | -21.178000000 | 5.00 | De Jonge et al. (2019) | World DB | ||
| De_Jonge_2021 Ossekampen Control 13_1 | Ossekampen Control 13_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.25 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen Control 13_2 | Ossekampen Control 13_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.47 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen Control 13_3 | Ossekampen Control 13_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.45 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + K 18_1 | Ossekampen + K 18_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.28 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + K 18_2 | Ossekampen + K 18_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.16 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + K 18_3 | Ossekampen + K 18_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.15 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + NPK 19_1 | Ossekampen + NPK 19_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.33 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + NPK 19_2 | Ossekampen + NPK 19_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.34 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + NPK 19_3 | Ossekampen + NPK 19_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.29 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + P 20_1 | Ossekampen + P 20_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.35 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + P 20_2 | Ossekampen + P 20_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.36 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + P 20_3 | Ossekampen + P 20_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.33 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + CaO 21_1 | Ossekampen + CaO 21_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 6.45 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + CaO 21_2 | Ossekampen + CaO 21_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 6.78 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + CaO 21_3 | Ossekampen + CaO 21_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 6.57 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + N 25_1 | Ossekampen + N 25_1 | Soil | Netherlands | 51.970800000 | 5.638300000 | 3.95 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + N 25_2 | Ossekampen + N 25_2 | Soil | Netherlands | 51.970800000 | 5.638300000 | 4.02 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Ossekampen + N 25_3 | Ossekampen + N 25_3 | Soil | Netherlands | 51.970800000 | 5.638300000 | 3.95 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 4.5 | Craibstone pH plot 4.5 | Soil | Scotland | 57.180000000 | -2.210000000 | 4.50 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 5 | Craibstone pH plot 5 | Soil | Scotland | 57.180000000 | -2.210000000 | 5.00 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 5.5 | Craibstone pH plot 5.5 | Soil | Scotland | 57.180000000 | -2.210000000 | 5.50 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 6 | Craibstone pH plot 6 | Soil | Scotland | 57.180000000 | -2.210000000 | 6.00 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 6.5 | Craibstone pH plot 6.5 | Soil | Scotland | 57.180000000 | -2.210000000 | 6.50 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 7 | Craibstone pH plot 7 | Soil | Scotland | 57.180000000 | -2.210000000 | 7.00 | De Jonge et al. (2021) | World DB | ||
| De_Jonge_2021 Craibstone pH plot 7.5 | Craibstone pH plot 7.5 | Soil | Scotland | 57.180000000 | -2.210000000 | 7.50 | De Jonge et al. (2021) | World DB | ||
| Dearing Crampton-Flood 2020 China-19 | China-19 | Soil | Global BayMBT Soils | 18.900000000 | 109.500000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-20 | China-20 | Soil | Global BayMBT Soils | 18.770000000 | 110.330000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-23 | China-23 | Soil | Global BayMBT Soils | 28.220000000 | 116.920000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-25 | China-25 | Soil | Global BayMBT Soils | 28.480000000 | 116.270000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-27 | China-27 | Soil | Global BayMBT Soils | 27.090000000 | 117.750000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-31 | China-31 | Soil | Global BayMBT Soils | 24.380000000 | 114.280000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-32 | China-32 | Soil | Global BayMBT Soils | 23.650000000 | 113.650000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-4 | China-4 | Soil | Global BayMBT Soils | 28.200000000 | 113.830000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-49 | China-49 | Soil | Global BayMBT Soils | 26.380000000 | 106.430000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China-6 | China-6 | Soil | Global BayMBT Soils | 24.820000000 | 110.520000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 China65 | China65 | Soil | Global BayMBT Soils | 44.480000000 | 123.480000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH1 | IndiaETH1 | Soil | Global BayMBT Soils | 19.090000000 | 77.050000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH2 | IndiaETH2 | Soil | Global BayMBT Soils | 19.370000000 | 75.710000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH5 | IndiaETH5 | Soil | Global BayMBT Soils | 19.620000000 | 75.020000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH6 | IndiaETH6 | Soil | Global BayMBT Soils | 19.880000000 | 74.510000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH7 | IndiaETH7 | Soil | Global BayMBT Soils | 20.140000000 | 73.970000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaETH8 | IndiaETH8 | Soil | Global BayMBT Soils | 20.110000000 | 74.060000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG10 | IndiaG10 | Soil | Global BayMBT Soils | 16.700000000 | 82.030000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG14 | IndiaG14 | Soil | Global BayMBT Soils | 16.950000000 | 81.750000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG15 | IndiaG15 | Soil | Global BayMBT Soils | 16.890000000 | 81.740000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG17 | IndiaG17 | Soil | Global BayMBT Soils | 16.690000000 | 81.800000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG19 | IndiaG19 | Soil | Global BayMBT Soils | 16.530000000 | 81.960000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG20 | IndiaG20 | Soil | Global BayMBT Soils | 17.630000000 | 81.640000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG21 | IndiaG21 | Soil | Global BayMBT Soils | 17.720000000 | 81.570000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG22 | IndiaG22 | Soil | Global BayMBT Soils | 17.890000000 | 81.390000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG23 | IndiaG23 | Soil | Global BayMBT Soils | 17.530000000 | 81.290000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG24 | IndiaG24 | Soil | Global BayMBT Soils | 17.570000000 | 81.260000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG25 | IndiaG25 | Soil | Global BayMBT Soils | 17.650000000 | 80.980000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG26 | IndiaG26 | Soil | Global BayMBT Soils | 18.850000000 | 80.350000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG27 | IndiaG27 | Soil | Global BayMBT Soils | 19.010000000 | 81.190000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG28 | IndiaG28 | Soil | Global BayMBT Soils | 18.310000000 | 80.470000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG29 | IndiaG29 | Soil | Global BayMBT Soils | 18.750000000 | 80.000000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG30 | IndiaG30 | Soil | Global BayMBT Soils | 18.610000000 | 79.800000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG31 | IndiaG31 | Soil | Global BayMBT Soils | 18.900000000 | 79.160000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG32 | IndiaG32 | Soil | Global BayMBT Soils | 18.870000000 | 79.950000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG33 | IndiaG33 | Soil | Global BayMBT Soils | 18.870000000 | 79.850000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG34 | IndiaG34 | Soil | Global BayMBT Soils | 19.820000000 | 79.380000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG35 | IndiaG35 | Soil | Global BayMBT Soils | 19.860000000 | 79.120000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG36 | IndiaG36 | Soil | Global BayMBT Soils | 19.910000000 | 79.110000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG37 | IndiaG37 | Soil | Global BayMBT Soils | 19.420000000 | 79.970000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG38 | IndiaG38 | Soil | Global BayMBT Soils | 19.680000000 | 79.790000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG39 | IndiaG39 | Soil | Global BayMBT Soils | 19.790000000 | 79.710000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG40 | IndiaG40 | Soil | Global BayMBT Soils | 20.480000000 | 79.940000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG41 | IndiaG41 | Soil | Global BayMBT Soils | 20.120000000 | 79.930000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG42 | IndiaG42 | Soil | Global BayMBT Soils | 20.130000000 | 79.000000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG43 | IndiaG43 | Soil | Global BayMBT Soils | 19.820000000 | 78.580000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG44 | IndiaG44 | Soil | Global BayMBT Soils | 18.860000000 | 77.960000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG45 | IndiaG45 | Soil | Global BayMBT Soils | 19.150000000 | 77.350000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG46 | IndiaG46 | Soil | Global BayMBT Soils | 19.020000000 | 76.730000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG47 | IndiaG47 | Soil | Global BayMBT Soils | 19.280000000 | 76.910000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaG48 | IndiaG48 | Soil | Global BayMBT Soils | 19.540000000 | 76.970000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX41 | IndiaX41 | Soil | Global BayMBT Soils | 20.450000000 | 79.990000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX44 | IndiaX44 | Soil | Global BayMBT Soils | 19.010000000 | 78.660000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX45 | IndiaX45 | Soil | Global BayMBT Soils | 18.700000000 | 77.790000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX46 | IndiaX46 | Soil | Global BayMBT Soils | 18.860000000 | 77.800000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX47 | IndiaX47 | Soil | Global BayMBT Soils | 19.400000000 | 76.770000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 IndiaX48 | IndiaX48 | Soil | Global BayMBT Soils | 19.560000000 | 74.930000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 New Zealand | New Zealand | Soil | Global BayMBT Soils | -44.090000000 | 172.150000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 Russia- Samoylov Island | Russia- Samoylov Island | Soil | Global BayMBT Soils | 71.860000000 | 129.290000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 Russia - Lena Delta | Russia - Lena Delta | Soil | Global BayMBT Soils | 73.810000000 | 141.330000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Dearing Crampton-Flood 2020 Russia - Lena Plateau | Russia - Lena Plateau | Soil | Global BayMBT Soils | 61.100000000 | 127.340000000 | Dearing Crampton-Flood et al. (2020) | World DB | |||
| Ding_2018 1 core | 1 | Soil | Germany | 51.103000000 | 10.397000000 | 5.30 | Ding et al. (2018) | World DB | ||
| Ding_2018 2 core | 2 | Soil | Germany | 51.104000000 | 10.398000000 | 4.50 | Ding et al. (2018) | World DB | ||
| Ding_2018 3 core | 3 | Soil | Germany | 51.107000000 | 10.398000000 | 4.70 | Ding et al. (2018) | World DB | ||
| Ding_2018 4 core | 4 | Soil | Germany | 51.108000000 | 10.412000000 | 6.00 | Ding et al. (2018) | World DB | ||
| Ding_2018 5 core | 5 | Soil | Germany | 51.109000000 | 10.415000000 | 5.40 | Ding et al. (2018) | World DB | ||
| Ding_2018 6 core | 6 | Soil | Germany | 51.111000000 | 10.424000000 | 6.50 | Ding et al. (2018) | World DB | ||
| Ding_2018 7 core | 7 | Soil | Germany | 51.111000000 | 10.424000000 | 5.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 8 core | 8 | Soil | Germany | 51.109000000 | 10.411000000 | 5.00 | Ding et al. (2018) | World DB | ||
| Ding_2018 9 core | 9 | Soil | Germany | 51.109000000 | 10.411000000 | 4.90 | Ding et al. (2018) | World DB | ||
| Ding_2018 10 core | 10 | Soil | Germany | 51.111000000 | 10.422000000 | 6.70 | Ding et al. (2018) | World DB | ||
| Ding_2018 11 core | 11 | Soil | Germany | 51.111000000 | 10.422000000 | 7.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 X1 core | X1 | Soil | Germany | 51.065000000 | 10.492000000 | 7.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 X2 core | X2 | Soil | Germany | 51.068000000 | 10.463000000 | 7.00 | Ding et al. (2018) | World DB | ||
| Ding_2018 X3 core | X3 | Soil | Germany | 51.070000000 | 10.464000000 | 6.70 | Ding et al. (2018) | World DB | ||
| Ding_2018 X4 core | X4 | Soil | Germany | 51.074000000 | 10.462000000 | 5.10 | Ding et al. (2018) | World DB | ||
| Ding_2018 X5 core | X5 | Soil | Germany | 51.076000000 | 10.461000000 | 6.10 | Ding et al. (2018) | World DB | ||
| Ding_2018 X6 core | X6 | Soil | Germany | 51.077000000 | 10.459000000 | 5.90 | Ding et al. (2018) | World DB | ||
| Ding_2018 X7 core | X7 | Soil | Germany | 51.077000000 | 10.454000000 | 6.40 | Ding et al. (2018) | World DB | ||
| Ding_2018 X8 core | X8 | Soil | Germany | 51.078000000 | 10.452000000 | 6.30 | Ding et al. (2018) | World DB | ||
| Ding_2018 H3 core | H3 | Soil | Germany | 51.114000000 | 10.431000000 | 7.30 | Ding et al. (2018) | World DB | ||
| Ding_2018 H4 core | H4 | Soil | Germany | 51.115000000 | 10.448000000 | 7.10 | Ding et al. (2018) | World DB | ||
| Ding_2018 H5 core | H5 | Soil | Germany | 51.119000000 | 10.469000000 | 7.40 | Ding et al. (2018) | World DB | ||
| Guo_2020 S2.1 | S2.1 | Soil | England | 50.083200000 | 5.265600000 | 6.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S2.2 | S2.2 | Soil | England | 50.082600000 | 5.266600000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S2.3 | S2.3 | Soil | England | 50.082000000 | 5.267600000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S2.4 | S2.4 | Soil | England | 50.081900000 | 5.268200000 | 7.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S3.1 | S3.1 | Soil | England | 50.087500000 | 5.270100000 | 6.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S3.2 | S3.2 | Soil | England | 50.085400000 | 5.269900000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S3.3 | S3.3 | Soil | England | 50.084500000 | 5.268800000 | 6.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.1 | S7.1 | Soil | England | 50.081800000 | 5.275800000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.2 | S7.2 | Soil | England | 50.080700000 | 5.275400000 | 6.40 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.3 | S8.3 | Soil | England | 50.075300000 | 5.281800000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.4 | S8.4 | Soil | England | 50.074300000 | 5.281600000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.1 | S9.1 | Soil | England | 50.071000000 | 5.275500000 | 6.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.2 | S9.2 | Soil | England | 50.072200000 | 5.277300000 | 6.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.2 | S10.2 | Soil | England | 50.068800000 | 5.272500000 | 6.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.3 | S10.3 | Soil | England | 50.070600000 | 5.272400000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.4 | S10.4 | Soil | England | 50.071400000 | 5.271900000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.5 | S10.5 | Soil | England | 50.071700000 | 5.271800000 | 5.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.1 | S11.1 | Soil | England | 50.075600000 | 5.262700000 | 6.20 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.3 | S11.3 | Soil | England | 50.074600000 | 5.261900000 | 6.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.4 | S11.4 | Soil | England | 50.073600000 | 5.261400000 | 6.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.1 | S13.1 | Soil | England | 50.071500000 | 5.252600000 | 6.20 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.2 | S13.2 | Soil | England | 50.072400000 | 5.254300000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.3 | S13.3 | Soil | England | 50.073200000 | 5.255000000 | 6.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.4 | S13.4 | Soil | England | 50.074400000 | 5.255600000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.5 | S13.5 | Soil | England | 50.074400000 | 5.255600000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S13.6 | S13.6 | Soil | England | 50.074600000 | 5.255700000 | 6.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S14.1 | S14.1 | Soil | England | 50.079300000 | 5.251300000 | 6.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S14.2 | S14.2 | Soil | England | 50.079200000 | 5.252400000 | 6.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S14.3 | S14.3 | Soil | England | 50.078800000 | 5.252400000 | 6.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S14.4 | S14.4 | Soil | England | 50.077800000 | 5.253200000 | 6.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S14.5 | S14.5 | Soil | England | 50.077300000 | 5.252500000 | 6.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S1.1 | S1.1 | Soil | England | 50.082200000 | 5.272300000 | 6.20 | Guo et al. (2020) | World DB | ||
| Guo_2020 S1.2 | S1.2 | Soil | England | 50.082100000 | 5.271400000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S1.3 | S1.3 | Soil | England | 50.082200000 | 5.270400000 | 6.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S1.4 | S1.4 | Soil | England | 50.082000000 | 5.269400000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S1.5 | S1.5 | Soil | England | 50.082000000 | 5.269100000 | 6.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.6 | S7.6 | Soil | England | 50.076600000 | 5.276100000 | 6.20 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.7 | S7.7 | Soil | England | 50.075900000 | 5.275700000 | 6.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.5 | S8.5 | Soil | England | 50.073200000 | 5.281900000 | 6.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.6 | S8.6 | Soil | England | 50.074100000 | 5.281600000 | 5.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.3 | S9.3 | Soil | England | 50.072300000 | 5.276000000 | 5.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.4 | S9.4 | Soil | England | 50.072700000 | 5.275900000 | 5.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.5 | S9.5 | Soil | England | 50.072800000 | 5.275900000 | 5.40 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.6 | S9.6 | Soil | England | 50.073100000 | 5.276100000 | 5.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.8 | S11.8 | Soil | England | 50.072800000 | 5.261000000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S4.1 | S4.1 | Soil | England | 50.082600000 | 5.264300000 | 5.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S4.2 | S4.2 | Soil | England | 50.081700000 | 5.264300000 | 5.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S4.3 | S4.3 | Soil | England | 50.080900000 | 5.264100000 | 5.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S4.4 | S4.4 | Soil | England | 50.080100000 | 5.264000000 | 5.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S5.3 | S5.3 | Soil | England | 50.079200000 | 5.263100000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S5.4 | S5.4 | Soil | England | 50.079500000 | 5.263600000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S5.5 | S5.5 | Soil | England | 50.079700000 | 5.263900000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.1 | S6.1 | Soil | England | 50.075600000 | 5.264500000 | 5.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.2 | S6.2 | Soil | England | 50.076100000 | 5.266100000 | 5.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.3 | S6.3 | Soil | England | 50.076300000 | 5.267000000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.4 | S6.4 | Soil | England | 50.076500000 | 5.267500000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.5 | S6.5 | Soil | England | 50.076900000 | 5.268300000 | 6.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.3 | S7.3 | Soil | England | 50.078900000 | 5.275300000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.4 | S7.4 | Soil | England | 50.077900000 | 5.275500000 | 6.40 | Guo et al. (2020) | World DB | ||
| Guo_2020 S7.5 | S7.5 | Soil | England | 50.077000000 | 5.276000000 | 6.40 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.1 | S8.1 | Soil | England | 50.076700000 | 5.281600000 | 6.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S8.2 | S8.2 | Soil | England | 50.076000000 | 5.281600000 | 6.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.1 | S10.1 | Soil | England | 50.066600000 | 5.271600000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.5 | S11.5 | Soil | England | 50.073400000 | 5.261400000 | 6.40 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.6 | S11.6 | Soil | England | 50.073300000 | 5.261400000 | 6.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S11.7 | S11.7 | Soil | England | 50.073100000 | 5.261200000 | 6.50 | Guo et al. (2020) | World DB | ||
| Guo_2020 S12.1 | S12.1 | Soil | England | 50.069500000 | 5.261000000 | 5.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S12.3 | S12.3 | Soil | England | 50.071100000 | 5.261000000 | 5.90 | Guo et al. (2020) | World DB | ||
| Guo_2020 S12.4 | S12.4 | Soil | England | 50.071800000 | 5.261100000 | 5.80 | Guo et al. (2020) | World DB | ||
| Guo_2020 S3.4 | S3.4 | Soil | England | 50.082100000 | 5.268800000 | 5.60 | Guo et al. (2020) | World DB | ||
| Guo_2020 S6.6 | S6.6 | Soil | England | 50.077300000 | 5.268900000 | 5.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 S9.7 | S9.7 | Soil | England | 50.073800000 | 5.276200000 | 5.30 | Guo et al. (2020) | World DB | ||
| Guo_2020 S10.6 | S10.6 | Soil | England | 50.072700000 | 5.270600000 | 6.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 S12.5 | S12.5 | Soil | England | 50.072800000 | 5.261500000 | 4.40 | Guo et al. (2020) | World DB | ||
| Kirkels_2019 TU4-O | TU4-O | Soil | Amazon | -13.107000000 | -71.589000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU3-O | TU3-O | Soil | Amazon | -13.109000000 | -71.600000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 UC-O | UC-O | Soil | Amazon | -12.866000000 | -71.401000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 SP2-O | SP2-O | Soil | Amazon | -13.049000000 | -71.537000000 | 4.00 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 SP1-O | SP1-O | Soil | Amazon | -13.047000000 | -71.543000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU8-O | TU8-O | Soil | Amazon | -13.074000000 | -71.559000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU7-O | TU7-O | Soil | Amazon | -13.094000000 | -71.574000000 | 4.00 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU5-O | TU5-O | Soil | Amazon | -13.094000000 | -71.574000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TP4-O | TP4-O | Soil | Amazon | -12.839000000 | -69.296000000 | 5.10 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TP3-O | TP3-O | Soil | Amazon | -12.830000000 | -69.271000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 Way-O | Way-O | Soil | Amazon | -13.190000000 | -71.587000000 | 4.10 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU2-O | TU2-O | Soil | Amazon | -13.111000000 | -71.604000000 | 4.10 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU1-O | TU1-O | Soil | Amazon | -13.114000000 | -71.607000000 | 4.00 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TC-O | TC-O | Soil | Amazon | -13.123000000 | -71.618000000 | 4.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU4-M | TU4-M | Soil | Amazon | -13.107000000 | -71.589000000 | 4.00 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU3-M | TU3-M | Soil | Amazon | -13.109000000 | -71.600000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 VC-M | VC-M | Soil | Amazon | -12.866000000 | -71.401000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 SP2-M | SP2-M | Soil | Amazon | -13.049000000 | -71.537000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 SP1-M | SP1-M | Soil | Amazon | -13.047000000 | -71.543000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU8-M | TU8-M | Soil | Amazon | -13.074000000 | -71.559000000 | 4.10 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU7-M | TU7-M | Soil | Amazon | -13.094000000 | -71.574000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU5-M | TU5-M | Soil | Amazon | -13.094000000 | -71.574000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TP4-M | TP4-M | Soil | Amazon | -12.839000000 | -69.296000000 | 4.40 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TP3-M | TP3-M | Soil | Amazon | -12.830000000 | -69.271000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 Way-M | Way-M | Soil | Amazon | -13.190000000 | -71.587000000 | 4.10 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU2-M | TU2-M | Soil | Amazon | -13.111000000 | -71.604000000 | 3.80 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TU1-M | TU1-M | Soil | Amazon | -13.114000000 | -71.607000000 | 3.90 | Kirkels et al. (2019) | World DB | ||
| Kirkels_2019 TC-M | TC-M | Soil | Amazon | -13.123000000 | -71.618000000 | 4.50 | Kirkels et al. (2019) | World DB | ||
| Li_2018 CB1-1 | CB1-1 | Soil | China | 42.398611110 | 128.083888900 | 5.54 | Li et al. (2018) | World DB | ||
| Li_2018 CB1-2 | CB1-2 | Soil | China | 42.398611110 | 128.107777800 | 5.15 | Li et al. (2018) | World DB | ||
| Li_2018 CB1-3 | CB1-3 | Soil | China | 42.398611110 | 128.107777800 | 5.49 | Li et al. (2018) | World DB | ||
| Li_2018 CB2-1 | CB2-1 | Soil | China | 42.331111110 | 128.110000000 | 5.30 | Li et al. (2018) | World DB | ||
| Li_2018 CB2-2 | CB2-2 | Soil | China | 42.331388890 | 128.109444400 | 5.25 | Li et al. (2018) | World DB | ||
| Li_2018 CB2-3 | CB2-3 | Soil | China | 42.331111110 | 128.109166700 | 4.61 | Li et al. (2018) | World DB | ||
| Li_2018 CB3-1 | CB3-1 | Soil | China | 42.252777780 | 128.163333300 | 5.09 | Li et al. (2018) | World DB | ||
| Li_2018 CB3-2 | CB3-2 | Soil | China | 42.252500000 | 128.163055600 | 6.05 | Li et al. (2018) | World DB | ||
| Li_2018 CB3-3 | CB3-3 | Soil | China | 42.252500000 | 128.163333300 | 5.68 | Li et al. (2018) | World DB | ||
| Li_2018 CB4-1 | CB4-1 | Soil | China | 42.180000000 | 128.183611100 | 5.96 | Li et al. (2018) | World DB | ||
| Li_2018 CB4-2 | CB4-2 | Soil | China | 42.180000000 | 128.183888900 | 5.47 | Li et al. (2018) | World DB | ||
| Li_2018 CB4-3 | CB4-3 | Soil | China | 42.180000000 | 128.184166700 | 5.70 | Li et al. (2018) | World DB | ||
| Li_2018 CB5-1 | CB5-1 | Soil | China | 42.143055560 | 128.192777800 | 4.96 | Li et al. (2018) | World DB | ||
| Li_2018 CB5-2 | CB5-2 | Soil | China | 42.142777780 | 128.192777800 | 5.46 | Li et al. (2018) | World DB | ||
| Li_2018 CB5-3 | CB5-3 | Soil | China | 42.143055560 | 128.192777800 | 4.55 | Li et al. (2018) | World DB | ||
| Li_2018 CB6-1 | CB6-1 | Soil | China | 42.108888890 | 128.217777800 | 4.67 | Li et al. (2018) | World DB | ||
| Li_2018 CB6-2 | CB6-2 | Soil | China | 42.108611110 | 128.217777800 | 4.87 | Li et al. (2018) | World DB | ||
| Li_2018 CB6-3 | CB6-3 | Soil | China | 42.108611110 | 128.217500000 | 4.52 | Li et al. (2018) | World DB | ||
| Li_2018 CB7-1 | CB7-1 | Soil | China | 42.500833330 | 128.133888900 | 5.87 | Li et al. (2018) | World DB | ||
| Li_2018 CB7-2 | CB7-2 | Soil | China | 42.501388890 | 128.133888900 | 6.13 | Li et al. (2018) | World DB | ||
| Li_2018 CB7-3 | CB7-3 | Soil | China | 42.501388890 | 128.133888900 | 6.43 | Li et al. (2018) | World DB | ||
| Li_2018 CB8-1 | CB8-1 | Soil | China | 42.119166670 | 128.106388900 | 4.40 | Li et al. (2018) | World DB | ||
| Li_2018 CB9-1 | CB9-1 | Soil | China | 42.061111110 | 128.066944400 | 4.68 | Li et al. (2018) | World DB | ||
| Li_2018 CB9-2 | CB9-2 | Soil | China | 42.061111110 | 128.066944400 | 4.71 | Li et al. (2018) | World DB | ||
| Li_2018 CB10-1 | CB10-1 | Soil | China | 42.401666670 | 128.094166700 | 4.99 | Li et al. (2018) | World DB | ||
| Li_2018 CB10-2 | CB10-2 | Soil | China | 42.401666670 | 128.094166700 | 5.03 | Li et al. (2018) | World DB | ||
| Li_2018 CB11-1 | CB11-1 | Soil | China | 42.074722220 | 128.065000000 | 4.75 | Li et al. (2018) | World DB | ||
| Li_2018 CB11-2 | CB11-2 | Soil | China | 42.074722220 | 128.065000000 | 4.73 | Li et al. (2018) | World DB | ||
| Li_2018 CB12-1 | CB12-1 | Soil | China | 42.168611110 | 128.156944400 | 4.71 | Li et al. (2018) | World DB | ||
| Miller_2018 DRM_BPS_333 | Basin Pond | Soil | USA | 44.457961000 | -70.054325000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_331 | Basin Pond | Soil | USA | 44.459197000 | -70.053600000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_338 | Basin Pond | Soil | USA | 44.455875000 | -70.055181000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_341 | Basin Pond | Soil | USA | 44.455956000 | -70.051322000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_348 | Basin Pond | Soil | USA | 44.459150000 | -70.051892000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_336 | Basin Pond | Soil | USA | 44.456911000 | -70.055156000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_340 | Basin Pond | Soil | USA | 44.455100000 | -70.053481000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_343 | Basin Pond | Soil | USA | 44.456747000 | -70.049778000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_345 | Basin Pond | Soil | USA | 44.457850000 | -70.049217000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 DRM_BPS_347 | Basin Pond | Soil | USA | 44.458783000 | -70.050275000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Naafs_2017_Soils_Australia-17 | Australia-17 | Soil | Global soils | -34.720000000 | 148.330000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Australia-4 | Australia-4 | Soil | Global soils | -26.720000000 | 150.600000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-1 | Brazil-1 | Soil | Global soils | -22.750000000 | -43.680000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-12 | Brazil-12 | Soil | Global soils | -2.600000000 | -54.950000000 | 6.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-13 | Brazil-13 | Soil | Global soils | -2.900000000 | -54.930000000 | 3.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-14 | Brazil-14 | Soil | Global soils | -15.600000000 | -47.700000000 | 4.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-28 | Brazil-28 | Soil | Global soils | -12.000000000 | -50.000000000 | 5.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-3 | Brazil-3 | Soil | Global soils | -21.130000000 | -42.800000000 | 5.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Brazil-6 | Brazil-6 | Soil | Global soils | -22.550000000 | -50.320000000 | 5.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Cameroon-1 | Cameroon-1 | Soil | Global soils | 4.230000000 | 9.330000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Canada-14 | Canada-14 | Soil | Global soils | 45.420000000 | -63.420000000 | 4.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Canada-17 | Canada-17 | Soil | Global soils | 49.950000000 | -98.180000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Canada-24 | Canada-24 | Soil | Global soils | 49.250000000 | -122.380000000 | 5.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-19 | China-19 | Soil | Global soils | 18.900000000 | 109.500000000 | 4.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-20 | China-20 | Soil | Global soils | 18.770000000 | 110.330000000 | 3.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-23 | China-23 | Soil | Global soils | 28.220000000 | 116.920000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-25 | China-25 | Soil | Global soils | 28.480000000 | 116.270000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-27 | China-27 | Soil | Global soils | 27.090000000 | 117.750000000 | 4.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-31 | China-31 | Soil | Global soils | 24.380000000 | 114.280000000 | 6.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-32 | China-32 | Soil | Global soils | 23.650000000 | 113.650000000 | 4.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-4 | China-4 | Soil | Global soils | 28.200000000 | 113.830000000 | 4.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-49 | China-49 | Soil | Global soils | 26.380000000 | 106.430000000 | 6.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-6 | China-6 | Soil | Global soils | 24.820000000 | 110.520000000 | 7.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1180 | China-MG1180 | Soil | Global soils | 29.620000000 | 102.170000000 | 7.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1220 | China-MG1220 | Soil | Global soils | 29.600000000 | 102.170000000 | 7.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1515 | China-MG1515 | Soil | Global soils | 29.630000000 | 102.130000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1645 | China-MG1645 | Soil | Global soils | 29.610000000 | 102.110000000 | 7.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1740 | China-MG1740 | Soil | Global soils | 29.620000000 | 102.110000000 | 6.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1800 | China-MG1800 | Soil | Global soils | 29.610000000 | 102.090000000 | 7.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1850 | China-MG1850 | Soil | Global soils | 29.610000000 | 102.090000000 | 7.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1915 | China-MG1915 | Soil | Global soils | 29.610000000 | 102.090000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG1973 | China-MG1973 | Soil | Global soils | 29.600000000 | 102.070000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2005 | China-MG2005 | Soil | Global soils | 29.600000000 | 102.070000000 | 7.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2115 | China-MG2115 | Soil | Global soils | 29.600000000 | 102.070000000 | 7.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2160 | China-MG2160 | Soil | Global soils | 29.600000000 | 102.060000000 | 7.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2220 | China-MG2220 | Soil | Global soils | 29.600000000 | 102.050000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2300 | China-MG2300 | Soil | Global soils | 29.600000000 | 102.050000000 | 6.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2350 | China-MG2350 | Soil | Global soils | 29.600000000 | 102.050000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2420 | China-MG2420 | Soil | Global soils | 29.590000000 | 102.040000000 | 7.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2470 | China-MG2470 | Soil | Global soils | 29.590000000 | 102.040000000 | 7.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2540 | China-MG2540 | Soil | Global soils | 29.590000000 | 102.030000000 | 7.80 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2620 | China-MG2620 | Soil | Global soils | 29.590000000 | 102.030000000 | 6.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2742 | China-MG2742 | Soil | Global soils | 29.590000000 | 102.030000000 | 4.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2764 | China-MG2764 | Soil | Global soils | 29.580000000 | 102.020000000 | 5.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2808 | China-MG2808 | Soil | Global soils | 29.580000000 | 102.010000000 | 5.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2920 | China-MG2920 | Soil | Global soils | 29.580000000 | 102.010000000 | 5.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG2960 | China-MG2960 | Soil | Global soils | 29.580000000 | 102.000000000 | 7.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3049 | China-MG3049 | Soil | Global soils | 29.580000000 | 102.000000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3065 | China-MG3065 | Soil | Global soils | 29.580000000 | 101.990000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3119 | China-MG3119 | Soil | Global soils | 29.580000000 | 101.990000000 | 5.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3140 | China-MG3140 | Soil | Global soils | 29.570000000 | 101.980000000 | 4.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3145 | China-MG3145 | Soil | Global soils | 29.580000000 | 101.990000000 | 7.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3188 | China-MG3188 | Soil | Global soils | 29.580000000 | 101.990000000 | 5.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3209 | China-MG3209 | Soil | Global soils | 29.570000000 | 101.980000000 | 5.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3676 | China-MG3676 | Soil | Global soils | 29.550000000 | 101.970000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3769 | China-MG3769 | Soil | Global soils | 29.550000000 | 101.970000000 | 6.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_China-MG3819 | China-MG3819 | Soil | Global soils | 29.550000000 | 101.960000000 | 5.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Colombia-12 | Colombia-12 | Soil | Global soils | 1.330000000 | -77.330000000 | 4.80 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Colombia-7 | Colombia-7 | Soil | Global soils | -0.470000000 | -72.230000000 | 4.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Colombia-9 | Colombia-9 | Soil | Global soils | -1.470000000 | -72.220000000 | 3.80 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Ecuador-19 | Ecuador-19 | Soil | Global soils | -2.120000000 | -78.720000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Ecuador-6 | Ecuador-6 | Soil | Global soils | -0.520000000 | -76.930000000 | 4.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Ecuador-7 | Ecuador-7 | Soil | Global soils | -0.320000000 | -76.830000000 | 4.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Egypt-1 | Egypt-1 | Soil | Global soils | 28.530000000 | 33.970000000 | 7.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Egypt-2 | Egypt-2 | Soil | Global soils | 28.530000000 | 33.970000000 | Naafs et al. (2017a) | World DB | |||
| Naafs_2017_Soils_Finland-2 | Finland-2 | Soil | Global soils | 61.240000000 | 34.100000000 | 3.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-15 | France-15 | Soil | Global soils | 45.050000000 | 2.550000000 | 4.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO10 | France-TESO10 | Soil | Global soils | 42.490000000 | 2.350000000 | 6.46 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO11 | France-TESO11 | Soil | Global soils | 42.560000000 | 2.390000000 | 6.83 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO12 | France-TESO12 | Soil | Global soils | 42.530000000 | 2.340000000 | 6.59 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO13 | France-TESO13 | Soil | Global soils | 42.570000000 | 2.380000000 | 6.32 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO14 | France-TESO14 | Soil | Global soils | 42.580000000 | 2.370000000 | 7.68 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO14B | France-TESO14B | Soil | Global soils | 42.580000000 | 2.370000000 | 7.81 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO15 | France-TESO15 | Soil | Global soils | 42.650000000 | 2.490000000 | 6.39 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO16 | France-TESO16 | Soil | Global soils | 42.640000000 | 2.300000000 | 6.39 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO18 | France-TESO18 | Soil | Global soils | 42.680000000 | 2.270000000 | 5.52 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO19 | France-TESO19 | Soil | Global soils | 42.670000000 | 2.610000000 | 7.87 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO22B | France-TESO22B | Soil | Global soils | 42.670000000 | 2.609000000 | 8.48 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO24 | France-TESO24 | Soil | Global soils | 42.700000000 | 2.670000000 | 7.77 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO25 | France-TESO25 | Soil | Global soils | 42.710000000 | 2.680000000 | 7.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO26 | France-TESO26 | Soil | Global soils | 42.690000000 | 2.700000000 | 7.26 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO28 | France-TESO28 | Soil | Global soils | 42.700000000 | 2.610000000 | 8.43 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO30 | France-TESO30 | Soil | Global soils | 42.670000000 | 2.610000000 | 7.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO31 | France-TESO31 | Soil | Global soils | 42.690000000 | 2.790000000 | 7.51 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO33 | France-TESO33 | Soil | Global soils | 42.690000000 | 2.791000000 | 7.78 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO34 | France-TESO34 | Soil | Global soils | 42.690000000 | 2.820000000 | 8.11 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO36 | France-TESO36 | Soil | Global soils | 42.710000000 | 3.040000000 | 7.47 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO43 | France-TESO43 | Soil | Global soils | 42.710000000 | 2.980000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO43B | France-TESO43B | Soil | Global soils | 42.710000000 | 2.980000000 | 7.47 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO47 | France-TESO47 | Soil | Global soils | 42.560000000 | 2.310000000 | 6.98 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO48 | France-TESO48 | Soil | Global soils | 42.530000000 | 2.080000000 | 4.64 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO49 | France-TESO49 | Soil | Global soils | 42.510000000 | 2.110000000 | 4.82 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO51 | France-TESO51 | Soil | Global soils | 42.520000000 | 2.220000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO7 | France-TESO7 | Soil | Global soils | 42.570000000 | 2.320000000 | 7.48 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_France-TESO8 | France-TESO8 | Soil | Global soils | 42.540000000 | 2.270000000 | 5.42 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-1 | Gabon-1 | Soil | Global soils | 0.520000000 | 12.800000000 | 3.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-2 | Gabon-2 | Soil | Global soils | -1.520000000 | 14.120000000 | 5.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-3 | Gabon-3 | Soil | Global soils | -1.680000000 | 13.580000000 | 4.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-4 | Gabon-4 | Soil | Global soils | -2.220000000 | 11.530000000 | 5.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-5 | Gabon-5 | Soil | Global soils | -0.380000000 | 11.520000000 | 5.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Gabon-6 | Gabon-6 | Soil | Global soils | -0.520000000 | 10.280000000 | 5.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Galapagos | Galapagos | Soil | Global soils | -0.850000000 | -89.750000000 | 4.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Germany-G1 | Germany-G1 | Soil | Global soils | 48.000000000 | 12.000000000 | 7.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Germany-G2 | Germany-G2 | Soil | Global soils | 48.000000000 | 12.000000000 | 7.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Germany-H1 | Germany-H1 | Soil | Global soils | 53.630000000 | 9.980000000 | 6.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Ghana-2 | Ghana-2 | Soil | Global soils | 6.000000000 | 0.000000000 | 6.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Greece-13 | Greece-13 | Soil | Global soils | 40.500000000 | 23.550000000 | 5.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Greece-5 | Greece-5 | Soil | Global soils | 40.580000000 | 22.500000000 | 7.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Greenland-5 | Greenland-5 | Soil | Global soils | 65.620000000 | -37.670000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Iceland-6 | Iceland-6 | Soil | Global soils | 65.350000000 | -20.880000000 | 6.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Iceland-3a | Iceland-3a | Soil | Global soils | 65.080000000 | -22.750000000 | 5.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Ireland-9 | Ireland-9 | Soil | Global soils | 53.900000000 | -7.800000000 | 3.80 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Italy-1 | Italy-1 | Soil | Global soils | 39.670000000 | 16.150000000 | 6.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Italy-11 | Italy-11 | Soil | Global soils | 41.480000000 | 13.520000000 | 5.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Italy-14 | Italy-14 | Soil | Global soils | 41.480000000 | 13.530000000 | 5.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Italy-17 | Italy-17 | Soil | Global soils | 41.450000000 | 13.620000000 | 7.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netherlands-B | the Netherlands-B | Soil | Global soils | 50.920000000 | 4.750000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Netherlands-T5 | Netherlands-T5 | Soil | Global soils | 53.080000000 | 4.750000000 | 4.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netherlands-T7 | the Netherlands-T7 | Soil | Global soils | 53.080000000 | 4.750000000 | 3.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Nigeria-15 | Nigeria-15 | Soil | Global soils | 5.300000000 | 6.630000000 | 4.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Nigeria-19 | Nigeria-19 | Soil | Global soils | 6.620000000 | 3.500000000 | 7.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Norway-1 | Norway-1 | Soil | Global soils | 63.820000000 | 9.680000000 | 7.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Norway-3 | Norway-3 | Soil | Global soils | 63.430000000 | 10.680000000 | 4.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Peru-1 | Peru-1 | Soil | Global soils | -3.820000000 | -73.320000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Peru-10 | Peru-10 | Soil | Global soils | -12.680000000 | -69.130000000 | 4.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Peru-13 | Peru-13 | Soil | Global soils | -3.920000000 | -73.370000000 | Naafs et al. (2017a) | World DB | |||
| Naafs_2017_Soils_Peru-14 | Peru-14 | Soil | Global soils | -3.920000000 | -73.370000000 | Naafs et al. (2017a) | World DB | |||
| Naafs_2017_Soils_Peru-4 | Peru-4 | Soil | Global soils | -3.850000000 | -73.270000000 | 4.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Scotland-D | Scotland-D | Soil | Global soils | 54.920000000 | -3.330000000 | 5.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Seychelles | Seychelles | Soil | Global soils | -4.670000000 | 55.310000000 | 5.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_South Africa-12 | South Africa-12 | Soil | Global soils | -29.520000000 | 30.270000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_South Africa-16 | South Africa-16 | Soil | Global soils | -29.670000000 | 30.380000000 | 6.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_South Africa-3 | South Africa-3 | Soil | Global soils | -29.500000000 | 30.920000000 | 4.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Sout Africa-7 | Sout Africa-7 | Soil | Global soils | -29.780000000 | 30.680000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Spain-6 | Spain-6 | Soil | Global soils | 38.900000000 | -6.270000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Spain-7 | Spain-7 | Soil | Global soils | 38.980000000 | -6.330000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-LB1 | Svalbard-LB1 | Soil | Global soils | 78.220000000 | 15.600000000 | 4.35 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP1 | Svalbard-MP1 | Soil | Global soils | 79.180000000 | 11.170000000 | 7.11 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP2 | Svalbard-MP2 | Soil | Global soils | 79.180000000 | 11.200000000 | 8.29 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP3 | Svalbard-MP3 | Soil | Global soils | 79.200000000 | 11.270000000 | 5.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP4 | Svalbard-MP4 | Soil | Global soils | 79.200000000 | 11.300000000 | 8.34 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP5 | Svalbard-MP5 | Soil | Global soils | 79.200000000 | 11.320000000 | 8.25 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-MP6 | Svalbard-MP6 | Soil | Global soils | 79.200000000 | 11.320000000 | 9.34 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-NA1 | Svalbard-NA1 | Soil | Global soils | 78.920000000 | 11.930000000 | 7.42 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Svalbard-NA2 | Svalbard-NA2 | Soil | Global soils | 78.930000000 | 11.920000000 | 6.32 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Sweden-15 | Sweden-15 | Soil | Global soils | 64.180000000 | 19.570000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Sweden-17 | Sweden-17 | Soil | Global soils | 64.200000000 | 19.480000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Sweden-4 | Sweden-4 | Soil | Global soils | 55.820000000 | 14.070000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Sweden-B | Sweden-B | Soil | Global soils | 59.630000000 | 18.430000000 | 4.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netherlands-A | the Netherlands-A | Soil | Global soils | 53.080000000 | 4.750000000 | 6.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netherlands-F | the Netherlands-F | Soil | Global soils | 53.080000000 | 4.750000000 | 6.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netherlands-J | the Netherlands-J | Soil | Global soils | 53.080000000 | 4.750000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_the Netlerlands-M | the Netlerlands-M | Soil | Global soils | 53.080000000 | 4.750000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Turkey-12 | Turkey-12 | Soil | Global soils | 39.920000000 | 29.930000000 | 8.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Turkey-8 | Turkey-8 | Soil | Global soils | 37.730000000 | 33.570000000 | 8.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Uganda-3 | Uganda-3 | Soil | Global soils | 0.830000000 | 30.050000000 | 7.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Uruguay-7 | Uruguay-7 | Soil | Global soils | -32.670000000 | -57.830000000 | 5.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Uruguay-8 | Uruguay-8 | Soil | Global soils | -32.000000000 | -57.500000000 | 5.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-10 | USA-10 | Soil | Global soils | 22.670000000 | -159.400000000 | 5.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-13 | USA-13 | Soil | Global soils | 40.470000000 | -99.470000000 | 5.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-17 | USA-17 | Soil | Global soils | 64.870000000 | -147.830000000 | 7.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BB1 | USA-BB1 | Soil | Global soils | 44.900000000 | -68.100000000 | 4.25 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BB2 | USA-BB2 | Soil | Global soils | 44.900000000 | -68.100000000 | 4.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BF1 | USA-BF1 | Soil | Global soils | 41.600000000 | -80.100000000 | 4.05 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BP1 | USA-BP1 | Soil | Global soils | 43.800000000 | -102.400000000 | 7.53 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BZ2 | USA-BZ2 | Soil | Global soils | 64.800000000 | -148.300000000 | 5.16 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-BZ3 | USA-BZ3 | Soil | Global soils | 64.800000000 | -148.300000000 | 5.36 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CA1 | USA-CA1 | Soil | Global soils | 36.100000000 | -111.800000000 | 7.27 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CA2 | USA-CA2 | Soil | Global soils | 36.100000000 | -111.700000000 | 8.02 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CC1 | USA-CC1 | Soil | Global soils | 45.400000000 | -93.200000000 | 6.06 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CF1 | USA-CF1 | Soil | Global soils | 42.200000000 | -74.300000000 | 3.92 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CF2 | USA-CF2 | Soil | Global soils | 41.900000000 | -74.400000000 | 3.63 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CF3 | USA-CF3 | Soil | Global soils | 42.100000000 | -74.100000000 | 3.56 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CL1 | USA-CL1 | Soil | Global soils | 34.600000000 | -87.700000000 | 5.68 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CL2 | USA-CL2 | Soil | Global soils | 34.600000000 | -87.700000000 | 5.57 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CL3 | USA-CL3 | Soil | Global soils | 34.600000000 | -87.700000000 | 4.89 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CM1 | USA-CM1 | Soil | Global soils | 33.300000000 | -96.200000000 | 7.85 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CO2 | USA-CO2 | Soil | Global soils | 40.600000000 | -105.300000000 | 5.68 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-CO3 | USA-CO3 | Soil | Global soils | 40.800000000 | -104.800000000 | 6.02 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-DF1 | USA-DF1 | Soil | Global soils | 36.000000000 | -78.100000000 | 5.37 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-DF3 | USA-DF3 | Soil | Global soils | 36.000000000 | -78.100000000 | 5.05 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-GB2 | USA-GB2 | Soil | Global soils | 39.300000000 | -111.500000000 | 7.57 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-GB3 | USA-GB3 | Soil | Global soils | 39.300000000 | -111.500000000 | 7.18 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-GB5 | USA-GB5 | Soil | Global soils | 39.300000000 | -111.500000000 | 8.22 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-HF2 | USA-HF2 | Soil | Global soils | 42.500000000 | -72.200000000 | 3.98 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-HI3 | USA-HI3 | Soil | Global soils | 20.100000000 | -155.700000000 | 6.53 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-HJ1 | USA-HJ1 | Soil | Global soils | 44.200000000 | -122.200000000 | 5.41 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IE2 | USA-IE2 | Soil | Global soils | 41.800000000 | -73.470000000 | 5.52 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IE3 | USA-IE3 | Soil | Global soils | 41.800000000 | -73.470000000 | 5.72 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IE4 | USA-IE4 | Soil | Global soils | 41.800000000 | -73.470000000 | 6.29 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IE5 | USA-IE5 | Soil | Global soils | 41.800000000 | -73.470000000 | 5.57 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IT1 | USA-IT1 | Soil | Global soils | 47.200000000 | -95.200000000 | 5.78 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-IT2 | USA-IT2 | Soil | Global soils | 47.200000000 | -95.200000000 | 5.42 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-KP1 | USA-KP1 | Soil | Global soils | 39.100000000 | -96.600000000 | 6.37 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-KP2 | USA-KP2 | Soil | Global soils | 39.100000000 | -96.600000000 | 6.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-LQ2 | USA-LQ2 | Soil | Global soils | 18.300000000 | -65.800000000 | 5.03 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-MD3 | USA-MD3 | Soil | Global soils | 35.200000000 | -115.900000000 | 7.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-MD4 | USA-MD4 | Soil | Global soils | 35.200000000 | -115.900000000 | 8.86 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-MP1 | USA-MP1 | Soil | Global soils | 49.500000000 | -123.500000000 | 4.56 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-MP2 | USA-MP2 | Soil | Global soils | 49.500000000 | -123.500000000 | 4.38 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-1 | USA-R-1 | Soil | Global soils | 42.750000000 | -73.800000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-2 | USA-R-2 | Soil | Global soils | 41.580000000 | -84.600000000 | 6.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-3 | USA-R-3 | Soil | Global soils | 43.310000000 | -89.250000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-4 | USA-R-4 | Soil | Global soils | 44.530000000 | -93.130000000 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-5 | USA-R-5 | Soil | Global soils | 45.570000000 | -112.290000000 | 8.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-R-6 | USA-R-6 | Soil | Global soils | 47.380000000 | -117.320000000 | 7.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-RT1 | USA-RT1 | Soil | Global soils | 31.500000000 | -96.900000000 | 7.92 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-RT2 | USA-RT2 | Soil | Global soils | 31.500000000 | -96.900000000 | 8.07 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SA1 | USA-SA1 | Soil | Global soils | 35.400000000 | -111.600000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SB1 | USA-SB1 | Soil | Global soils | 34.500000000 | -119.800000000 | 7.92 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SN1 | USA-SN1 | Soil | Global soils | 36.500000000 | -118.200000000 | 4.95 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SN3 | USA-SN3 | Soil | Global soils | 36.500000000 | -118.200000000 | 5.74 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SP1 | USA-SP1 | Soil | Global soils | 36.500000000 | -118.700000000 | 6.25 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SP2 | USA-SP2 | Soil | Global soils | 36.600000000 | -111.600000000 | 5.13 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SR1 | USA-SR1 | Soil | Global soils | 34.700000000 | -120.100000000 | 6.84 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SR2 | USA-SR2 | Soil | Global soils | 34.700000000 | -120.100000000 | 8.00 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SR3 | USA-SR3 | Soil | Global soils | 34.700000000 | -120.100000000 | 6.95 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SV1 | USA-SV1 | Soil | Global soils | 34.300000000 | -106.700000000 | 8.31 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SV2 | USA-SV2 | Soil | Global soils | 34.300000000 | -106.700000000 | 8.44 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SV3 | USA-SV3 | Soil | Global soils | 34.300000000 | -106.700000000 | 8.31 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-SV4 | USA-SV4 | Soil | Global soils | 34.300000000 | -106.700000000 | 8.29 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-VC1 | USA-VC1 | Soil | Global soils | 35.900000000 | -106.600000000 | 5.55 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-VC2 | USA-VC2 | Soil | Global soils | 35.900000000 | -106.600000000 | 5.99 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_USA-W | USA-W | Soil | Global soils | 41.540000000 | -70.650000000 | 4.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Zaire-1 | Zaire-1 | Soil | Global soils | 0.870000000 | 24.470000000 | 3.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_Zaire-2 | Zaire-2 | Soil | Global soils | 0.770000000 | 24.430000000 | 4.10 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_JB-1 | JB-1 | Soil | Global soils | 37.740000000 | 108.910000000 | 7.73 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_MH-1 | MH-1 | Soil | Global soils | 53.290000000 | 122.150000000 | 5.41 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_HQ-1 | HQ-1 | Soil | Global soils | 39.330000000 | 111.190000000 | 7.65 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_XJ-1 | XJ-1 | Soil | Global soils | 36.020000000 | 105.880000000 | 7.62 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_SHM-1 | SHM-1 | Soil | Global soils | 38.840000000 | 110.440000000 | 7.37 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_HSH-3 | HSH-3 | Soil | Global soils | 38.040000000 | 109.240000000 | 7.73 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_4-1 | 04. Jan | Soil | Global soils | 31.433333330 | 110.283333300 | 5.03 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_4-2 | 04. Feb | Soil | Global soils | 31.433333330 | 110.283333300 | 4.74 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_5-1 | 05. Jan | Soil | Global soils | 31.450000000 | 110.283333300 | 5.81 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_5-2 | 05. Feb | Soil | Global soils | 31.450000000 | 110.283333300 | 5.46 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_5-3 | 05. Mrz | Soil | Global soils | 31.450000000 | 110.283333300 | 5.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_5-4 | 05. Apr | Soil | Global soils | 31.450000000 | 110.283333300 | 5.47 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_6-1 | 06. Jan | Soil | Global soils | 31.466666670 | 110.300000000 | 7.50 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_6-2 | 06. Feb | Soil | Global soils | 31.466666670 | 110.300000000 | 5.66 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_6-4 | 06. Apr | Soil | Global soils | 31.466666670 | 110.300000000 | 6.40 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_7-2 | 07. Feb | Soil | Global soils | 31.483333330 | 110.316666700 | 6.59 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_7-4 | 07. Apr | Soil | Global soils | 31.483333330 | 110.316666700 | 6.76 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_1-1 | 01. Jan | Soil | Global soils | 31.483333330 | 110.000000000 | 4.12 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_8-4 | 08. Apr | Soil | Global soils | 31.483333330 | 110.350000000 | 7.98 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_2-1 | 02. Jan | Soil | Global soils | 31.483333330 | 110.000000000 | 5.13 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_9-1 | 09. Jan | Soil | Global soils | 31.483333330 | 110.366666700 | 6.06 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_10-2 | 10. Feb | Soil | Global soils | 31.466666670 | 110.383333300 | 7.06 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_10-3 | 10. Mrz | Soil | Global soils | 31.466666670 | 110.383333300 | 6.84 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_11-1 | 11. Jan | Soil | Global soils | 31.383333330 | 110.466666700 | 5.03 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_11-4 | 11. Apr | Soil | Global soils | 31.383333330 | 110.466666700 | 6.63 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_11-3 | 11. Mrz | Soil | Global soils | 31.383333330 | 110.466666700 | 6.83 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_12-2 | 12. Feb | Soil | Global soils | 31.333333330 | 110.550000000 | 8.01 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_12-3 | 12. Mrz | Soil | Global soils | 31.333333330 | 110.550000000 | 6.44 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_12-5 | 12. Mai | Soil | Global soils | 31.333333330 | 110.550000000 | 7.23 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_13-2 | 13. Feb | Soil | Global soils | 31.333333330 | 110.633333300 | 6.86 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_13-4 | 13. Apr | Soil | Global soils | 31.333333330 | 110.633333300 | 5.91 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_7-3 | 07. Mrz | Soil | Global soils | 31.483333330 | 110.316666700 | 5.56 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-1 | KMS-1 | Soil | Global soils | 24.833333330 | 102.600000000 | 6.30 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-3 | KMS-3 | Soil | Global soils | 24.850000000 | 102.616666700 | 7.20 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-4 | KMS-4 | Soil | Global soils | 24.850000000 | 102.616666700 | 6.62 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-5 | KMS-5 | Soil | Global soils | 24.900000000 | 102.650000000 | 7.57 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-6 | KMS-6 | Soil | Global soils | 24.900000000 | 102.650000000 | 7.67 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-8 | KMS-8 | Soil | Global soils | 25.350000000 | 102.450000000 | 6.74 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-9 | KMS-9 | Soil | Global soils | 25.350000000 | 102.450000000 | 6.62 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-10 | KMS-10 | Soil | Global soils | 25.350000000 | 102.450000000 | 5.44 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-11 | KMS-11 | Soil | Global soils | 25.350000000 | 102.450000000 | 6.57 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-12 | KMS-12 | Soil | Global soils | 25.333333330 | 102.450000000 | 6.60 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-13 | KMS-13 | Soil | Global soils | 25.333333330 | 102.450000000 | 6.94 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-14 | KMS-14 | Soil | Global soils | 25.333333330 | 102.450000000 | 7.08 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_KMS-15 | KMS-15 | Soil | Global soils | 25.333333330 | 102.450000000 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_LP-2 | LP-2 | Soil | Global soils | 35.200000000 | 110.133333300 | 6.92 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_LP-3 | LP-3 | Soil | Global soils | 35.550000000 | 110.500000000 | 6.98 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_LP-4 | LP-4 | Soil | Global soils | 35.633333330 | 110.750000000 | 7.33 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_LP-5 | LP-5 | Soil | Global soils | 35.783333330 | 110.300000000 | 6.86 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_LP-1 | LP-1 | Soil | Global soils | 34.900000000 | 110.633333300 | 6.90 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-1 | NY-1 | Soil | Global soils | 33.100000000 | 112.216666700 | 7.61 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-10 | NY-10 | Soil | Global soils | 30.150000000 | 112.166666700 | 7.64 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-11 | NY-11 | Soil | Global soils | 30.150000000 | 112.166666700 | 7.66 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-12 | NY-12 | Soil | Global soils | 33.216666670 | 112.183333300 | 6.29 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-13 | NY-13 | Soil | Global soils | 33.216666670 | 112.183333300 | 6.32 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-15 | NY-15 | Soil | Global soils | 33.250000000 | 112.183333300 | 6.55 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-16 | NY-16 | Soil | Global soils | 33.250000000 | 112.183333300 | 6.37 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-17 | NY-17 | Soil | Global soils | 33.250000000 | 112.183333300 | 6.35 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-18 | NY-18 | Soil | Global soils | 33.266666670 | 112.200000000 | 6.03 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-2 | NY-2 | Soil | Global soils | 33.133333330 | 112.250000000 | 7.01 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-20 | NY-20 | Soil | Global soils | 33.283333330 | 112.200000000 | 5.86 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-21 | NY-21 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.49 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-22 | NY-22 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.64 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-23 | NY-23 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.47 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-24 | NY-24 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.69 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-25 | NY-25 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.64 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-3 | NY-3 | Soil | Global soils | 33.133333330 | 112.250000000 | 7.23 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-4 | NY-4 | Soil | Global soils | 33.216666670 | 112.283333300 | 6.77 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-5 | NY-5 | Soil | Global soils | 33.216666670 | 112.283333300 | 6.28 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-6 | NY-6 | Soil | Global soils | 33.133333330 | 112.166666700 | 7.26 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-7 | NY-7 | Soil | Global soils | 33.133333330 | 112.166666700 | 7.42 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-8 | NY-8 | Soil | Global soils | 33.133333330 | 112.166666700 | 6.61 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-9 | NY-9 | Soil | Global soils | 30.150000000 | 112.166666700 | 7.63 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-26 | NY-26 | Soil | Global soils | 33.150000000 | 112.166666700 | 7.70 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-14 | NY-14 | Soil | Global soils | 33.216666670 | 112.183333300 | 5.78 | Naafs et al. (2017a) | World DB | ||
| Naafs_2017_Soils_NY-19 | NY-19 | Soil | Global soils | 33.266666670 | 112.200000000 | 5.27 | Naafs et al. (2017a) | World DB | ||
| Ning_2019_3Soils | Ximenglongtan | Soil | China | 22.640000000 | 99.600000000 | Ning et al. (2019) | World DB | |||
| Pei_2019 Soil-1 | Dexing Acid Mine | Soil | China | 28.971786110 | 117.758758300 | 3.81 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-2 | Dexing Acid Mine | Soil | China | 28.968427780 | 117.760786100 | 4.75 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-3 | Dexing Acid Mine | Soil | China | 28.967238890 | 117.759786100 | 3.60 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-4 | Dexing Acid Mine | Soil | China | 28.964641670 | 117.758386100 | 4.40 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-5 | Dexing Acid Mine | Soil | China | 28.961758330 | 117.756402800 | 4.53 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-6 | Dexing Acid Mine | Soil | China | 28.960933330 | 117.756636100 | 4.62 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-7 | Dexing Acid Mine | Soil | China | 28.953202780 | 117.749261100 | 3.91 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-8 | Dexing Acid Mine | Soil | China | 28.942802780 | 117.743419400 | 4.46 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-9 | Dexing Acid Mine | Soil | China | 28.943672220 | 117.742613900 | 4.09 | Pei et al. (2019) | World DB | ||
| Pei_2019 Soil-10 | Dexing Acid Mine | Soil | China | 28.944027780 | 117.741983300 | 4.24 | Pei et al. (2019) | World DB | ||
| PerezAngel_2020 Colombia-EC1 250020 | Colombia-EC1 250020 | Soil | Colombia | 4.266033333 | -73.543050000 | 4.48 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC2 250020 | Colombia-EC2 250020 | Soil | Colombia | 4.266033333 | -73.543050000 | 4.98 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC3 250021 | Colombia-EC3 250021 | Soil | Colombia | 4.203716667 | -73.729750000 | 6.54 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC4 250021 | Colombia-EC4 250021 | Soil | Colombia | 4.203716667 | -73.729750000 | 6.63 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC5 250022 | Colombia-EC5 250022 | Soil | Colombia | 4.335583333 | -73.873283330 | 4.96 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC6 250022 | Colombia-EC6 250022 | Soil | Colombia | 4.335583333 | -73.873283330 | 5.46 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC7 250023 | Colombia-EC7 250023 | Soil | Colombia | 4.418233333 | -73.950550000 | 8.21 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC8 250023 | Colombia-EC8 250023 | Soil | Colombia | 4.418233333 | -73.950550000 | 7.73 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC9 250024 | Colombia-EC9 250024 | Soil | Colombia | 4.500716667 | -73.930333330 | 6.13 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC10 250024 | Colombia-EC10 250024 | Soil | Colombia | 4.500716667 | -73.930333330 | 6.30 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC11 250025 | Colombia-EC11 250025 | Soil | Colombia | 4.517600000 | -73.949766670 | 6.25 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC12 250025 | Colombia-EC12 250025 | Soil | Colombia | 4.517600000 | -73.949766670 | 6.10 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC13 250026 | Colombia-EC13 250026 | Soil | Colombia | 4.527483333 | -73.958700000 | 5.56 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC14 250026 | Colombia-EC14 250026 | Soil | Colombia | 4.527483333 | -73.958700000 | 5.66 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC15 250027 | Colombia-EC15 250027 | Soil | Colombia | 4.560200000 | -74.000566670 | 4.60 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC16 250027 | Colombia-EC16 250027 | Soil | Colombia | 4.560200000 | -74.000566670 | 5.00 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC17 250032 | Colombia-EC17 250032 | Soil | Colombia | 5.351983333 | -74.491416670 | 7.27 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC18 250032 | Colombia-EC18 250032 | Soil | Colombia | 5.351983333 | -74.491416670 | 7.57 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC19 250032 | Colombia-EC19 250032 | Soil | Colombia | 5.351983333 | -74.491416670 | 7.40 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC20 250033 | Colombia-EC20 250033 | Soil | Colombia | 5.200383333 | -74.724916670 | 5.60 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC21 250033 | Colombia-EC21 250033 | Soil | Colombia | 5.200383333 | -74.724916670 | 5.72 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC22 250033 | Colombia-EC22 250033 | Soil | Colombia | 5.200383333 | -74.724916670 | 5.83 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC23 250034 | Colombia-EC23 250034 | Soil | Colombia | 5.418283333 | -74.466316670 | 6.20 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC24 250034 | Colombia-EC24 250034 | Soil | Colombia | 5.418283333 | -74.466316670 | 7.08 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC25 250035 | Colombia-EC25 250035 | Soil | Colombia | 5.060150000 | -74.600900000 | 5.50 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC26 250035 | Colombia-EC26 250035 | Soil | Colombia | 5.060150000 | -74.600900000 | 5.90 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC27 250036 | Colombia-EC27 250036 | Soil | Colombia | 5.122066667 | -74.429483330 | 7.43 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC28 250036 | Colombia-EC28 250036 | Soil | Colombia | 5.122066667 | -74.429483330 | 7.57 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC29 250037 | Colombia-EC29 250037 | Soil | Colombia | 4.947916667 | -74.365916670 | 5.54 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC30 250037 | Colombia-EC30 250037 | Soil | Colombia | 4.947916667 | -74.365916670 | 5.87 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC31 250038 | Colombia-EC31 250038 | Soil | Colombia | 4.941283333 | -74.311683330 | 5.59 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC32 250038 | Colombia-EC32 250038 | Soil | Colombia | 4.941283333 | -74.311683330 | 5.07 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC33 250038 | Colombia-EC33 250038 | Soil | Colombia | 4.941283333 | -74.311683330 | 5.21 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC34 250039 | Colombia-EC34 250039 | Soil | Colombia | 5.031500000 | -73.959733330 | 6.92 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC35 250039 | Colombia-EC35 250039 | Soil | Colombia | 5.031500000 | -73.959733330 | 6.91 | Pérez-Angel et al. (2020) | World DB | ||
| PerezAngel_2020 Colombia-EC36 250039 | Colombia-EC36 250039 | Soil | Colombia | 5.031500000 | -73.959733330 | 6.39 | Pérez-Angel et al. (2020) | World DB | ||
| DH1-2TU CL | Donghu | Soil | China | 30.910000000 | 114.070000000 | 2.48E002 | Qian et al. (2019) | World DB | ||
| DH2-2TU CL | Donghu | Soil | China | 30.910000000 | 114.070000000 | 2.48E002 | Qian et al. (2019) | World DB | ||
| DH3-1TU CL | Donghu | Soil | China | 30.910000000 | 114.070000000 | 2.48E002 | Qian et al. (2019) | World DB | ||
| DH4-1TU CL | Donghu | Soil | China | 30.910000000 | 114.070000000 | 2.48E002 | Qian et al. (2019) | World DB | ||
| DH050TU CL | Donghu | Soil | China | 30.910000000 | 114.070000000 | 2.48E002 | Qian et al. (2019) | World DB | ||
| Vequaud_2021 1 | 1 | Soil | France | 45.059777780 | 6.391916667 | 5.10 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 2 | 2 | Soil | France | 45.059777780 | 6.391916667 | 6.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 3 | 3 | Soil | France | 45.060000000 | 6.365000000 | 6.00 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 4 | 4 | Soil | France | 45.059138890 | 6.367944444 | 6.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 5 | 5 | Soil | France | 45.054277780 | 6.400861111 | 4.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 6 | 6 | Soil | France | 45.058083330 | 6.373000000 | 4.90 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 7 | 7 | Soil | France | 45.059361110 | 6.369166667 | 4.90 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 8 | 8 | Soil | France | 45.050111110 | 6.385027778 | 4.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 9 | 9 | Soil | France | 45.054361110 | 6.375027778 | 4.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 10 | 10 | Soil | France | 45.053694440 | 6.378194444 | 4.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 11 | 11 | Soil | France | 45.048666670 | 6.387222222 | 5.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 12 | 12 | Soil | France | 45.050527780 | 6.381888889 | 5.90 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 13 | 13 | Soil | France | 45.052944440 | 6.377750000 | 7.10 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 14 | 14 | Soil | France | 45.044138890 | 6.402277778 | 4.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 15 | 15 | Soil | France | 45.048250000 | 6.396055556 | 5.10 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 16 | 16 | Soil | France | 45.049805560 | 6.392361111 | 5.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 17 | 17 | Soil | France | 45.045027780 | 6.407138889 | 4.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 18 | 18 | Soil | France | 45.040555560 | 6.419027778 | 5.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 19 | 19 | Soil | France | 45.040361110 | 6.408416667 | 5.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 20 | 20 | Soil | France | 45.039527780 | 6.435194444 | 6.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 21 | 21 | Soil | France | 45.025916670 | 6.452388889 | 7.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 22 | 22 | Soil | France | 44.996555560 | 6.480666667 | 6.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 23 | 23 | Soil | France | 45.013750000 | 6.466777778 | 6.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 24 | 24 | Soil | France | 45.001305560 | 6.474250000 | 6.60 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 25 | 25 | Soil | France | 44.994305560 | 6.478694444 | 6.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 26 | 26 | Soil | France | 45.667333330 | 5.971388889 | 4.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 27 | 27 | Soil | France | 45.670805560 | 5.973694444 | 6.00 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 28 | 28 | Soil | France | 45.674888890 | 5.998166667 | 5.10 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 29 | 29 | Soil | France | 45.675527780 | 5.996166667 | 4.90 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 30 | 30 | Soil | France | 45.675916670 | 5.997638889 | 4.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 31 | 31 | Soil | France | 45.674361110 | 5.996611111 | 5.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 32 | 32 | Soil | France | 45.675527780 | 5.996166667 | 4.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 33 | 33 | Soil | France | 45.675916670 | 5.997638889 | 4.90 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 34 | 34 | Soil | France | 45.674361110 | 5.996611111 | 5.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 35 | 35 | Soil | France | 45.638944440 | 5.993333333 | 3.80 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 36 | 36 | Soil | France | 45.645472220 | 5.990666667 | 3.60 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 37 | 37 | Soil | France | 45.646583330 | 5.990000000 | 5.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 38 | 38 | Soil | France | 45.672805560 | 5.962111111 | 6.40 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 39 | 39 | Soil | France | 45.671555560 | 5.962444444 | 7.20 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 40 | 40 | Soil | France | 45.668444440 | 5.961444444 | 6.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 41 | 41 | Soil | France | 45.680000000 | 5.941750000 | 7.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 42 | 42 | Soil | France | 45.679777780 | 5.950527778 | 6.70 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 43 | 43 | Soil | France | 45.681333330 | 5.948000000 | 7.10 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 44 | 44 | Soil | France | 45.648277780 | 5.867722222 | 7.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 45 | 45 | Soil | France | 45.647611110 | 5.867722222 | 7.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 46 | 46 | Soil | France | 45.636083330 | 5.869305556 | 7.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 47 | 47 | Soil | France | 45.648333330 | 5.866222222 | 7.30 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 48 | 48 | Soil | France | 45.649944440 | 5.866666667 | 7.50 | Véquaud et al. (2021) | World DB | ||
| Vequaud_2021 49 | 49 | Soil | France | 45.639500000 | 5.870138889 | 7.60 | Véquaud et al. (2021) | World DB | ||
| Wang_2018 FJS1 | FJS1 | Soil | China | 27.872300000 | 108.793600000 | 4.95 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS2 | FJS2 | Soil | China | 27.891100000 | 108.726200000 | 5.00 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS3 | FJS3 | Soil | China | 27.892700000 | 108.725100000 | 4.90 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS4 | FJS4 | Soil | China | 27.893100000 | 108.725400000 | 4.80 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS5 | FJS5 | Soil | China | 27.893200000 | 108.726200000 | 4.80 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS6 | FJS6 | Soil | China | 27.893700000 | 108.725400000 | 4.70 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS7 | FJS7 | Soil | China | 27.894000000 | 108.724400000 | 4.70 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS8 | FJS8 | Soil | China | 27.894500000 | 108.722500000 | 4.60 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS9 | FJS9 | Soil | China | 27.893900000 | 108.720800000 | 4.45 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS10 | FJS10 | Soil | China | 27.894000000 | 108.719500000 | 4.20 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS11 | FJS11 | Soil | China | 27.894400000 | 108.717600000 | 4.25 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS12 | FJS12 | Soil | China | 27.895300000 | 108.715300000 | 4.00 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS13 | FJS13 | Soil | China | 27.895700000 | 108.713500000 | 4.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS14 | FJS14 | Soil | China | 27.895900000 | 108.711200000 | 4.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS15 | FJS15 | Soil | China | 27.896000000 | 108.710700000 | 4.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS16 | FJS16 | Soil | China | 27.895900000 | 108.709000000 | 4.10 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS17 | FJS17 | Soil | China | 27.897700000 | 108.708100000 | 4.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS18 | FJS18 | Soil | China | 27.899900000 | 108.708100000 | 4.80 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS19 | FJS19 | Soil | China | 27.901300000 | 108.707200000 | 4.50 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS20 | FJS20 | Soil | China | 27.901800000 | 108.706700000 | 4.30 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS21 | FJS21 | Soil | China | 27.903900000 | 108.706400000 | 4.60 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS22 | FJS22 | Soil | China | 27.905200000 | 108.703700000 | 4.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS23 | FJS23 | Soil | China | 27.906400000 | 108.703000000 | 4.60 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS24 | FJS24 | Soil | China | 27.907100000 | 108.701900000 | 4.60 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS25 | FJS25 | Soil | China | 27.907200000 | 108.700400000 | 4.65 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS26 | FJS26 | Soil | China | 27.907100000 | 108.715800000 | 5.40 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS27 | FJS27 | Soil | China | 27.909000000 | 108.697400000 | 5.65 | Wang et al. (2018) | World DB | ||
| Wang_2018 FJS28 | FJS28 | Soil | China | 27.908800000 | 108.698000000 | 4.00 | Wang et al. (2018) | World DB | ||
| Wang_2019 1 | 1 | Soil | China | 26.800000000 | 119.100000000 | 5.30 | Wang et al. (2019) | World DB | ||
| Wang_2019 2 | 2 | Soil | China | 28.400000000 | 119.300000000 | 5.60 | Wang et al. (2019) | World DB | ||
| Wang_2019 3 | 3 | Soil | China | 26.100000000 | 104.800000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 4 | 4 | Soil | China | 27.700000000 | 119.600000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 5 | 5 | Soil | China | 26.500000000 | 114.100000000 | 5.70 | Wang et al. (2019) | World DB | ||
| Wang_2019 6 | 6 | Soil | China | 26.300000000 | 106.200000000 | 5.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 7 | 7 | Soil | China | 26.600000000 | 114.100000000 | 6.90 | Wang et al. (2019) | World DB | ||
| Wang_2019 8 | 8 | Soil | China | 29.500000000 | 120.500000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 9 | 9 | Soil | China | 26.400000000 | 108.200000000 | 5.80 | Wang et al. (2019) | World DB | ||
| Wang_2019 10 | 10 | Soil | China | 28.400000000 | 114.100000000 | 5.70 | Wang et al. (2019) | World DB | ||
| Wang_2019 11 | 11 | Soil | China | 26.500000000 | 114.200000000 | 5.80 | Wang et al. (2019) | World DB | ||
| Wang_2019 12 | 12 | Soil | China | 26.100000000 | 110.400000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 13 | 13 | Soil | China | 27.000000000 | 118.900000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 14 | 14 | Soil | China | 24.500000000 | 112.600000000 | 6.90 | Wang et al. (2019) | World DB | ||
| Wang_2019 15 | 15 | Soil | China | 24.700000000 | 117.100000000 | 6.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 16 | 16 | Soil | China | 26.600000000 | 116.100000000 | 6.60 | Wang et al. (2019) | World DB | ||
| Wang_2019 17 | 17 | Soil | China | 26.100000000 | 104.800000000 | 4.80 | Wang et al. (2019) | World DB | ||
| Wang_2019 18 | 18 | Soil | China | 26.100000000 | 104.800000000 | 6.70 | Wang et al. (2019) | World DB | ||
| Wang_2019 19 | 19 | Soil | China | 26.100000000 | 104.800000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 20 | 20 | Soil | China | 27.200000000 | 116.900000000 | 6.30 | Wang et al. (2019) | World DB | ||
| Wang_2019 21 | 21 | Soil | China | 26.500000000 | 114.100000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 22 | 22 | Soil | China | 27.900000000 | 108.700000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 23 | 23 | Soil | China | 27.900000000 | 108.700000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 24 | 24 | Soil | China | 27.900000000 | 108.700000000 | 5.10 | Wang et al. (2019) | World DB | ||
| Wang_2019 25 | 25 | Soil | China | 27.900000000 | 108.700000000 | 5.60 | Wang et al. (2019) | World DB | ||
| Wang_2019 26 | 26 | Soil | China | 27.900000000 | 108.700000000 | 5.10 | Wang et al. (2019) | World DB | ||
| Wang_2019 27 | 27 | Soil | China | 27.900000000 | 108.700000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 28 | 28 | Soil | China | 27.900000000 | 108.700000000 | 5.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 29 | 29 | Soil | China | 27.900000000 | 108.700000000 | 5.10 | Wang et al. (2019) | World DB | ||
| Wang_2019 30 | 30 | Soil | China | 27.900000000 | 108.700000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 31 | 31 | Soil | China | 26.400000000 | 108.200000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 32 | 32 | Soil | China | 29.500000000 | 120.500000000 | 5.20 | Wang et al. (2019) | World DB | ||
| Wang_2019 33 | 33 | Soil | China | 29.100000000 | 107.200000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 34 | 34 | Soil | China | 26.000000000 | 104.700000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 35 | 35 | Soil | China | 28.900000000 | 118.100000000 | 5.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 36 | 36 | Soil | China | 27.800000000 | 117.800000000 | 5.50 | Wang et al. (2019) | World DB | ||
| Wang_2019 37 | 37 | Soil | China | 26.600000000 | 107.600000000 | 5.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 38 | 38 | Soil | China | 26.100000000 | 104.800000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 39 | 39 | Soil | China | 30.200000000 | 119.500000000 | 4.00 | Wang et al. (2019) | World DB | ||
| Wang_2019 40 | 40 | Soil | China | 27.800000000 | 110.800000000 | 4.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 41 | 41 | Soil | China | 28.400000000 | 119.300000000 | 4.10 | Wang et al. (2019) | World DB | ||
| Wang_2019 42 | 42 | Soil | China | 26.500000000 | 114.000000000 | 4.80 | Wang et al. (2019) | World DB | ||
| Wang_2019 43 | 43 | Soil | China | 30.300000000 | 119.400000000 | 4.30 | Wang et al. (2019) | World DB | ||
| Wang_2019 44 | 44 | Soil | China | 28.300000000 | 119.300000000 | 4.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 45 | 45 | Soil | China | 26.100000000 | 113.900000000 | 4.60 | Wang et al. (2019) | World DB | ||
| Wang_2019 46 | 46 | Soil | China | 26.500000000 | 114.100000000 | 5.40 | Wang et al. (2019) | World DB | ||
| Wang_2019 47 | 47 | Soil | China | 27.600000000 | 114.200000000 | 4.00 | Wang et al. (2019) | World DB | ||
| Wang_2020_1 | 1 | Soil | China | 33.161088890 | 110.152652800 | 7.26 | Wang et al. (2020) | World DB | ||
| Wang_2020_2 | 2 | Soil | China | 33.161088890 | 110.152652800 | 7.47 | Wang et al. (2020) | World DB | ||
| Wang_2020_3 | 3 | Soil | China | 33.161088890 | 110.152652800 | 7.61 | Wang et al. (2020) | World DB | ||
| Wang_2020_4 | 4 | Soil | China | 31.593146940 | 112.138587200 | 7.87 | Wang et al. (2020) | World DB | ||
| Wang_2020_5 | 5 | Soil | China | 31.593146940 | 112.138587200 | 7.64 | Wang et al. (2020) | World DB | ||
| Wang_2020_6 | 6 | Soil | China | 31.593146940 | 112.138587200 | 7.90 | Wang et al. (2020) | World DB | ||
| Wang_2020_7 | 7 | Soil | China | 30.075066670 | 111.633444400 | 4.02 | Wang et al. (2020) | World DB | ||
| Wang_2020_8 | 8 | Soil | China | 30.075066670 | 111.633444400 | 3.91 | Wang et al. (2020) | World DB | ||
| Wang_2020_9 | 9 | Soil | China | 30.075066670 | 111.633444400 | 4.03 | Wang et al. (2020) | World DB | ||
| Wang_2020_10 | 10 | Soil | China | 28.823738890 | 111.502480600 | 6.68 | Wang et al. (2020) | World DB | ||
| Wang_2020_11 | 11 | Soil | China | 28.823738890 | 111.502480600 | 7.21 | Wang et al. (2020) | World DB | ||
| Wang_2020_12 | 12 | Soil | China | 28.823738890 | 111.502480600 | 7.36 | Wang et al. (2020) | World DB | ||
| Wang_2020_13 | 13 | Soil | China | 28.163486110 | 110.245564700 | 6.97 | Wang et al. (2020) | World DB | ||
| Wang_2020_14 | 14 | Soil | China | 28.163486110 | 110.245564700 | 6.76 | Wang et al. (2020) | World DB | ||
| Wang_2020_15 | 15 | Soil | China | 28.163486110 | 110.245564700 | 6.35 | Wang et al. (2020) | World DB | ||
| Wang_2020_16 | 16 | Soil | China | 26.838883890 | 109.741899200 | 3.92 | Wang et al. (2020) | World DB | ||
| Wang_2020_17 | 17 | Soil | China | 26.838883890 | 109.741899200 | 3.92 | Wang et al. (2020) | World DB | ||
| Wang_2020_18 | 18 | Soil | China | 26.838883890 | 109.741899200 | 4.17 | Wang et al. (2020) | World DB | ||
| Wang_2020_19 | 19 | Soil | China | 25.868087500 | 109.719603100 | 5.76 | Wang et al. (2020) | World DB | ||
| Wang_2020_20 | 20 | Soil | China | 25.868087500 | 109.719603100 | 6.04 | Wang et al. (2020) | World DB | ||
| Wang_2020_21 | 21 | Soil | China | 25.868087500 | 109.719603100 | 6.04 | Wang et al. (2020) | World DB | ||
| Wang_2020_22 | 22 | Soil | China | 24.984978610 | 109.970640800 | 4.47 | Wang et al. (2020) | World DB | ||
| Wang_2020_23 | 23 | Soil | China | 24.984978610 | 109.970640800 | 4.55 | Wang et al. (2020) | World DB | ||
| Wang_2020_24 | 24 | Soil | China | 24.984978610 | 109.970640800 | 4.67 | Wang et al. (2020) | World DB | ||
| Wang_2020_25 | 25 | Soil | China | 23.627418890 | 109.174315800 | 4.46 | Wang et al. (2020) | World DB | ||
| Wang_2020_26 | 26 | Soil | China | 23.627418890 | 109.174315800 | 4.55 | Wang et al. (2020) | World DB | ||
| Wang_2020_27 | 27 | Soil | China | 23.627418890 | 109.174315800 | 4.41 | Wang et al. (2020) | World DB | ||
| Wang_2020_28 | 28 | Soil | China | 22.714526670 | 108.852629400 | 5.06 | Wang et al. (2020) | World DB | ||
| Wang_2020_29 | 29 | Soil | China | 22.714526670 | 108.852629400 | 5.47 | Wang et al. (2020) | World DB | ||
| Wang_2020_30 | 30 | Soil | China | 22.714526670 | 108.852629400 | 5.08 | Wang et al. (2020) | World DB | ||
| Wang_2020_31 | 31 | Soil | China | 21.726745000 | 109.292851400 | 5.51 | Wang et al. (2020) | World DB | ||
| Wang_2020_32 | 32 | Soil | China | 21.726745000 | 109.292851400 | 5.04 | Wang et al. (2020) | World DB | ||
| Wang_2020_33 | 33 | Soil | China | 21.726745000 | 109.292851400 | 5.00 | Wang et al. (2020) | World DB | ||
| Wang_2020_34 | 34 | Soil | China | 20.987934440 | 110.022688600 | 5.34 | Wang et al. (2020) | World DB | ||
| Wang_2020_35 | 35 | Soil | China | 20.987934440 | 110.022688600 | 5.52 | Wang et al. (2020) | World DB | ||
| Wang_2020_36 | 36 | Soil | China | 20.987934440 | 110.022688600 | 5.53 | Wang et al. (2020) | World DB | ||
| Wang_2020_37 | 37 | Soil | China | 19.944666670 | 110.202906100 | 5.97 | Wang et al. (2020) | World DB | ||
| Wang_2020_38 | 38 | Soil | China | 19.944666670 | 110.202906100 | 6.23 | Wang et al. (2020) | World DB | ||
| Wang_2020_39 | 39 | Soil | China | 19.944666670 | 110.202906100 | 6.16 | Wang et al. (2020) | World DB | ||
| Wang_2020_40 | 40 | Soil | China | 18.687668330 | 108.771930300 | 6.38 | Wang et al. (2020) | World DB | ||
| Wang_2020_41 | 41 | Soil | China | 18.687668330 | 108.771930300 | 6.57 | Wang et al. (2020) | World DB | ||
| Wang_2020_42 | 42 | Soil | China | 18.687668330 | 108.771930300 | 6.33 | Wang et al. (2020) | World DB | ||
| Wang_2020_43 | 43 | Soil | China | 18.440081390 | 109.674544400 | 6.43 | Wang et al. (2020) | World DB | ||
| Wang_2020_44 | 44 | Soil | China | 18.440081390 | 109.674544400 | 7.03 | Wang et al. (2020) | World DB | ||
| Wang_2020_45 | 45 | Soil | China | 18.440081390 | 109.674544400 | 6.79 | Wang et al. (2020) | World DB | ||
| Wang_2020_67 | 67 | Soil | China | 37.716341670 | 120.662291700 | 6.91 | Wang et al. (2020) | World DB | ||
| Wang_2020_68 | 68 | Soil | China | 37.716341670 | 120.662291700 | 7.23 | Wang et al. (2020) | World DB | ||
| Wang_2020_69 | 69 | Soil | China | 37.716222220 | 120.662041700 | 7.27 | Wang et al. (2020) | World DB | ||
| Wang_2020_70 | 70 | Soil | China | 36.382252780 | 118.148488900 | 7.52 | Wang et al. (2020) | World DB | ||
| Wang_2020_71 | 71 | Soil | China | 36.382252780 | 118.148488900 | 7.63 | Wang et al. (2020) | World DB | ||
| Wang_2020_72 | 72 | Soil | China | 36.382252780 | 118.148488900 | 7.69 | Wang et al. (2020) | World DB | ||
| Wang_2020_73 | 73 | Soil | China | 38.560487220 | 112.711418300 | 7.65 | Wang et al. (2020) | World DB | ||
| Wang_2020_74 | 74 | Soil | China | 38.560487220 | 112.711418300 | 7.73 | Wang et al. (2020) | World DB | ||
| Wang_2020_75 | 75 | Soil | China | 38.560487220 | 112.711418300 | 7.85 | Wang et al. (2020) | World DB | ||
| Wang_2020_76 | 76 | Soil | China | 40.259127780 | 113.738587500 | 7.90 | Wang et al. (2020) | World DB | ||
| Wang_2020_77 | 77 | Soil | China | 40.259127780 | 113.738587500 | 7.93 | Wang et al. (2020) | World DB | ||
| Wang_2020_78 | 78 | Soil | China | 40.259127780 | 113.738587500 | 7.98 | Wang et al. (2020) | World DB | ||
| Wang_2020_79 | 79 | Soil | China | 41.265426670 | 114.876247800 | 7.38 | Wang et al. (2020) | World DB | ||
| Wang_2020_80 | 80 | Soil | China | 41.265426670 | 114.876247800 | 7.10 | Wang et al. (2020) | World DB | ||
| Wang_2020_81 | 81 | Soil | China | 41.265426670 | 114.876247800 | 6.97 | Wang et al. (2020) | World DB | ||
| Wang_2020_124 | 124 | Soil | China | 37.435294440 | 104.914040600 | 8.61 | Wang et al. (2020) | World DB | ||
| Wang_2020_125 | 125 | Soil | China | 37.435294440 | 104.914040600 | 8.70 | Wang et al. (2020) | World DB | ||
| Wang_2020_126 | 126 | Soil | China | 37.435294440 | 104.914040600 | 8.69 | Wang et al. (2020) | World DB | ||
| Wang_2020_127 | 127 | Soil | China | 39.114882780 | 106.563673300 | 8.42 | Wang et al. (2020) | World DB | ||
| Wang_2020_128 | 128 | Soil | China | 39.114882780 | 106.563673300 | 8.23 | Wang et al. (2020) | World DB | ||
| Wang_2020_129 | 129 | Soil | China | 39.114882780 | 106.563673300 | 8.60 | Wang et al. (2020) | World DB | ||
| Wang_2020_142 | 142 | Soil | China | 38.551538060 | 109.657883900 | 7.72 | Wang et al. (2020) | World DB | ||
| Wang_2020_143 | 143 | Soil | China | 38.551538060 | 109.657883900 | 8.00 | Wang et al. (2020) | World DB | ||
| Wang_2020_144 | 144 | Soil | China | 35.711811110 | 109.417465600 | 7.98 | Wang et al. (2020) | World DB | ||
| Wang_2020_145 | 145 | Soil | China | 35.711811110 | 109.417465600 | 8.14 | Wang et al. (2020) | World DB | ||
| Wang_2020_146 | 146 | Soil | China | 35.711811110 | 109.417465600 | 8.10 | Wang et al. (2020) | World DB | ||
| Wang_2020_147 | 147 | Soil | China | 35.389139440 | 109.133040800 | 7.60 | Wang et al. (2020) | World DB | ||
| Wang_2020_148 | 148 | Soil | China | 35.389139440 | 109.133040800 | 7.59 | Wang et al. (2020) | World DB | ||
| Wang_2020_149 | 149 | Soil | China | 35.389139440 | 109.133040800 | 7.65 | Wang et al. (2020) | World DB | ||
| Weber_2018_184 | AZ | Soil | Switzerland | 46.266037000 | 8.585285000 | Weber et al. (2018) | World DB | |||
| Weber_2018_185 | BA | Soil | Switzerland | 47.205327000 | 8.256456000 | Weber et al. (2018) | World DB | |||
| Weber_2018_186 | CD | Soil | Switzerland | 46.549713000 | 8.712020000 | Weber et al. (2018) | World DB | |||
| Weber_2018_187 | CM | Soil | Switzerland | 46.254877000 | 9.227139000 | Weber et al. (2018) | World DB | |||
| Weber_2018_188 | CN | Soil | Switzerland | 46.746295000 | 9.450728000 | Weber et al. (2018) | World DB | |||
| Weber_2018_189 | DS | Soil | Switzerland | 46.449348000 | 9.204876000 | Weber et al. (2018) | World DB | |||
| Weber_2018_190 | FA | Soil | Switzerland | 47.251105000 | 9.416863000 | Weber et al. (2018) | World DB | |||
| Weber_2018_191 | GE | Soil | Switzerland | 46.830408000 | 7.547104000 | Weber et al. (2018) | World DB | |||
| Weber_2018_192 | GH | Soil | Switzerland | 45.916122000 | 8.822347000 | Weber et al. (2018) | World DB | |||
| Weber_2018_193 | GL | Soil | Switzerland | 46.919695000 | 8.904035000 | Weber et al. (2018) | World DB | |||
| Weber_2018_194 | HB | Soil | Switzerland | 46.718051000 | 8.067521000 | Weber et al. (2018) | World DB | |||
| Weber_2018_195 | HS | Soil | Switzerland | 47.187152000 | 9.331283000 | Weber et al. (2018) | World DB | |||
| Weber_2018_196 | IF | Soil | Switzerland | 46.386484000 | 7.406019000 | Weber et al. (2018) | World DB | |||
| Weber_2018_197 | MG | Soil | Switzerland | 46.430410000 | 8.688574000 | Weber et al. (2018) | World DB | |||
| Weber_2018_198 | RO | Soil | Switzerland | 47.070253000 | 8.314694000 | Weber et al. (2018) | World DB | |||
| Weber_2018_199 | SI | Soil | Switzerland | 46.419982000 | 9.732666000 | Weber et al. (2018) | World DB | |||
| Weber_2018_200 | SO | Soil | Switzerland | 47.090201000 | 8.080952000 | Weber et al. (2018) | World DB | |||
| Weber_2018_201 | TR | Soil | Switzerland | 46.794032000 | 8.390088000 | Weber et al. (2018) | World DB | |||
| Weber_2018_202 | LU | Soil | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_203 | LU | Soil | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Freymond_2017 Inn | Inn | Riverine Sediment and SPM | Danube River | 48.566666670 | 13.450000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Enns | Enns | Riverine Sediment and SPM | Danube River | 48.116666670 | 14.466666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Morava | D up Morava | Riverine Sediment and SPM | Danube River | 48.133333330 | 16.933333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Morava | Morava | Riverine Sediment and SPM | Danube River | 48.183333330 | 16.966666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D d Morava | D d Morava | Riverine Sediment and SPM | Danube River | 48.016666670 | 17.233333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Vah | D up Vah | Riverine Sediment and SPM | Danube River | 47.750000000 | 18.100000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Vah | Vah | Riverine Sediment and SPM | Danube River | 47.900000000 | 18.000000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D d Vah | D d Vah | Riverine Sediment and SPM | Danube River | 47.716666670 | 18.316666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Drava | Drava | Riverine Sediment and SPM | Danube River | 45.683333330 | 18.400000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Tisa 1 | D up Tisa 1 | Riverine Sediment and SPM | Danube River | 45.166666670 | 20.066666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Tisa 2 | D up Tisa 2 | Riverine Sediment and SPM | Danube River | 45.166666670 | 20.066666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Tisa 3 | D up Tisa 3 | Riverine Sediment and SPM | Danube River | 45.150000000 | 20.100000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Tisa | Tisa | Riverine Sediment and SPM | Danube River | 45.200000000 | 20.300000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Sava | D up Sava | Riverine Sediment and SPM | Danube River | 44.916666670 | 20.316666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Sava | Sava | Riverine Sediment and SPM | Danube River | 44.716666670 | 20.300000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D d Sava | D d Sava | Riverine Sediment and SPM | Danube River | 44.650000000 | 20.766666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Velika Morava | Velika Morava | Riverine Sediment and SPM | Danube River | 44.600000000 | 21.083333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D d Velika Morava | D d Velika Morava | Riverine Sediment and SPM | Danube River | 44.816666670 | 21.333333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 IG reservoir | IG reservoir | Riverine Sediment and SPM | Danube River | 44.550000000 | 22.016666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Jiu | Jiu | Riverine Sediment and SPM | Danube River | 44.566666670 | 23.450000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Olt 1 | D up Olt 1 | Riverine Sediment and SPM | Danube River | 43.766666670 | 24.500000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Olt 2 | D up Olt 2 | Riverine Sediment and SPM | Danube River | 43.766666670 | 24.500000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Olt | Olt | Riverine Sediment and SPM | Danube River | 43.733333330 | 24.766666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D d Olt | D d Olt | Riverine Sediment and SPM | Danube River | 43.700000000 | 24.883333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 D up Siret | D up Siret | Riverine Sediment and SPM | Danube River | 45.316666670 | 28.000000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Siret | Siret | Riverine Sediment and SPM | Danube River | 45.383333330 | 28.000000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Prut | Prut | Riverine Sediment and SPM | Danube River | 45.466666670 | 28.183333330 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 Apex | Apex | Riverine Sediment and SPM | Danube River | 45.200000000 | 28.750000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 DD18 | DD18 | Riverine Sediment and SPM | Danube River | 44.916666670 | 29.550000000 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 DD9 | DD9 | Riverine Sediment and SPM | Danube River | 45.266666670 | 29.666666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 DD11 | DD11 | Riverine Sediment and SPM | Danube River | 45.383333330 | 29.516666670 | Freymond et al. (2017) | World DB | |||
| Freymond_2017 DD5 | DD5 | Riverine Sediment and SPM | Danube River | 45.200000000 | 29.483333330 | Freymond et al. (2017) | World DB | |||
| Guo_2020 R4 N_U | R4 N_U | Riverine Sediment and SPM | England | 50.079700000 | 5.264200000 | 7.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 R6 N_M | R6 N_M | Riverine Sediment and SPM | England | 50.077100000 | 5.269200000 | 7.20 | Guo et al. (2020) | World DB | ||
| Guo_2020 R7 N_D | R7 N_D | Riverine Sediment and SPM | England | 50.074800000 | 5.274600000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 R9 S_U | R9 S_U | Riverine Sediment and SPM | England | 50.073900000 | 5.274500000 | 6.70 | Guo et al. (2020) | World DB | ||
| Guo_2020 R11 S_M | R11 S_M | Riverine Sediment and SPM | England | 50.072700000 | 5.263100000 | 7.00 | Guo et al. (2020) | World DB | ||
| Guo_2020 R13 S_D | R13 S_D | Riverine Sediment and SPM | England | 50.075100000 | 5.257900000 | 7.10 | Guo et al. (2020) | World DB | ||
| Guo_2020 R_outlet | R_outlet | Riverine Sediment and SPM | England | 50.073800000 | 5.279300000 | 7.20 | Guo et al. (2020) | World DB | ||
| Pei_2019 DX 1-1 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972494440 | 117.759719400 | 2.47 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 1-2 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972483330 | 117.759736100 | 2.45 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 1-3 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972358330 | 117.759869400 | 2.77 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 1-4 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972550000 | 117.759663900 | 2.93 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 1-5 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972363890 | 117.759841700 | 2.68 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 1-6 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.972336110 | 117.759850000 | 3.13 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 2-1 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.969163890 | 117.759775000 | 2.81 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 2-2 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.969019440 | 117.759866700 | 2.71 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 2-3 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.968977780 | 117.760061100 | 2.63 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 3-1 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970997220 | 117.759772200 | 2.83 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 3-2 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970933330 | 117.759833300 | 2.81 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 3-3 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970816670 | 117.759766700 | 2.57 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 3-4 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970750000 | 117.759941700 | 2.50 | Pei et al. (2019) | World DB | ||
| Pei_2019 DX 3-5 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970658330 | 117.760000000 | 2.61 | Pei et al. (2019) | World DB | ||
| Pei_2019 CORE 0-2 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970000000 | 117.750000000 | 3.15 | Pei et al. (2019) | World DB | ||
| Pei_2019 CORE 2-4 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970000000 | 117.750000000 | 3.45 | Pei et al. (2019) | World DB | ||
| Pei_2019 CORE 4-6 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970000000 | 117.750000000 | 3.51 | Pei et al. (2019) | World DB | ||
| Pei_2019 CORE 6-8 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970000000 | 117.750000000 | 3.43 | Pei et al. (2019) | World DB | ||
| Pei_2019 CORE 8-10 | Dexing Acid Mine | Riverine Sediment and SPM | China | 28.970000000 | 117.750000000 | 3.60 | Pei et al. (2019) | World DB | ||
| Warden_2016/Zell 2014 TRS-6 | TRS-6 | Riverine Sediment and SPM | Tagus River | -8.960000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-8a | TRS-8a | Riverine Sediment and SPM | Tagus River | -8.110000000 | 39.460000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-2a | TRS-2a | Riverine Sediment and SPM | Tagus River | -5.890000000 | 39.800000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-2b | TRS-2b | Riverine Sediment and SPM | Tagus River | -5.890000000 | 39.780000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-1a | TRS-1a | Riverine Sediment and SPM | Tagus River | -5.850000000 | 39.880000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS1b | TRS1b | Riverine Sediment and SPM | Tagus River | -5.840000000 | 39.900000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-11 | TRS-11 | Riverine Sediment and SPM | Tagus River | -4.240000000 | 39.950000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-14a | TRS-14a | Riverine Sediment and SPM | Tagus River | -3.270000000 | 40.400000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-17 | TRS-17 | Riverine Sediment and SPM | Tagus River | -2.960000000 | 40.850000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TRS-22 | TRS-22 | Riverine Sediment and SPM | Tagus River | -2.560000000 | 40.990000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 10 | 10 | Riverine Sediment and SPM | Tagus River | -8.530000000 | 39.390000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Weber_2018_204 | LU | Riverine Sediment and SPM | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_205 | LU | Riverine Sediment and SPM | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| De Jonge 2015 Siberia_YR1 | Siberia_YR1 | Riverine Sediment and SPM | Siberia | 58.009900000 | 93.116800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR2 | Siberia_YR2 | Riverine Sediment and SPM | Siberia | 58.131500000 | 92.754100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR3 | Siberia_YR3 | Riverine Sediment and SPM | Siberia | 61.460000000 | 90.087700000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR4 | Siberia_YR4 | Riverine Sediment and SPM | Siberia | 61.791800000 | 89.549300000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR5 | Siberia_YR5 | Riverine Sediment and SPM | Siberia | 65.320500000 | 87.953700000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR6 | Siberia_YR6 | Riverine Sediment and SPM | Siberia | 66.171800000 | 87.233300000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR7 | Siberia_YR7 | Riverine Sediment and SPM | Siberia | 66.592200000 | 86.577900000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR8 | Siberia_YR8 | Riverine Sediment and SPM | Siberia | 68.679400000 | 86.267100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YR9 | Siberia_YR9 | Riverine Sediment and SPM | Siberia | 69.705000000 | 84.208600000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YM1 | Siberia_YM1 | Riverine Sediment and SPM | Siberia | 70.861100000 | 83.425400000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YM2 | Siberia_YM2 | Riverine Sediment and SPM | Siberia | 71.875500000 | 82.822100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YM3 | Siberia_YM3 | Riverine Sediment and SPM | Siberia | 71.841700000 | 82.784800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YM4 | Siberia_YM4 | Riverine Sediment and SPM | Siberia | 71.810200000 | 82.747900000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YM5 | Siberia_YM5 | Riverine Sediment and SPM | Siberia | 71.767200000 | 82.705300000 | De Jonge et al. (2015b) | World DB | |||
| Kirkels_2019 CMD-4 | CMD-4 | Riverine Sediment and SPM | Amazon | -13.162000000 | -71.589000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-6 | CMD-6 | Riverine Sediment and SPM | Amazon | -13.163000000 | -71.589000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-7 | CMD-7 | Riverine Sediment and SPM | Amazon | -13.071000000 | -71.569000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-8 | CMD-8 | Riverine Sediment and SPM | Amazon | -12.889000000 | -71.357000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-9 | CMD-9 | Riverine Sediment and SPM | Amazon | -12.907000000 | -71.401000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-12-0m | CMD-12-0m | Riverine Sediment and SPM | Amazon | -12.787000000 | -71.391000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-12-2m | CMD-12-2m | Riverine Sediment and SPM | Amazon | -12.787000000 | -71.391000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-12-3m | CMD-12-3m | Riverine Sediment and SPM | Amazon | -12.787000000 | -71.391000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-12-4.5m | CMD-12-4.5m | Riverine Sediment and SPM | Amazon | -12.787000000 | -71.391000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-13 | CMD-13 | Riverine Sediment and SPM | Amazon | -12.789000000 | -71.390000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-14 | CMD-14 | Riverine Sediment and SPM | Amazon | -12.671000000 | -71.293000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-15 | CMD-15 | Riverine Sediment and SPM | Amazon | -12.275000000 | -70.933000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-16 | CMD-16 | Riverine Sediment and SPM | Amazon | -12.272000000 | -70.935000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-17 | CMD-17 | Riverine Sediment and SPM | Amazon | -12.277000000 | -70.903000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-19 | CMD-19 | Riverine Sediment and SPM | Amazon | -12.275000000 | -70.933000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-20 | CMD-20 | Riverine Sediment and SPM | Amazon | -12.278000000 | -70.901000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-23 | CMD-23 | Riverine Sediment and SPM | Amazon | -12.491000000 | -70.599000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-24 | CMD-24 | Riverine Sediment and SPM | Amazon | -12.497000000 | -70.522000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-25 | CMD-25 | Riverine Sediment and SPM | Amazon | -12.546000000 | -70.400000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-26 | CMD-26 | Riverine Sediment and SPM | Amazon | -12.599000000 | -70.409000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-27 | CMD-27 | Riverine Sediment and SPM | Amazon | -12.606000000 | -70.358000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-28 | CMD-28 | Riverine Sediment and SPM | Amazon | -12.623000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-29-0m | CMD-29-0m | Riverine Sediment and SPM | Amazon | -12.581000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-29-3m | CMD-29-3m | Riverine Sediment and SPM | Amazon | -12.581000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-29-6m | CMD-29-6m | Riverine Sediment and SPM | Amazon | -12.581000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-29-8m | CMD-29-8m | Riverine Sediment and SPM | Amazon | -12.581000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-29-10m | CMD-29-10m | Riverine Sediment and SPM | Amazon | -12.581000000 | -70.075000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-30 | CMD-30 | Riverine Sediment and SPM | Amazon | -12.578000000 | -69.743000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-31 | CMD-31 | Riverine Sediment and SPM | Amazon | -12.711000000 | -69.751000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-32-0m | CMD-32-0m | Riverine Sediment and SPM | Amazon | -12.718000000 | -69.751000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-32-5m | CMD-32-5m | Riverine Sediment and SPM | Amazon | -12.718000000 | -69.589000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-33 | CMD-33 | Riverine Sediment and SPM | Amazon | -12.720000000 | -69.177000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-35-0m | CMD-35-0m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.177000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-35-3m | CMD-35-3m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.177000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-35-7m | CMD-35-7m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.177000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-35-9m | CMD-35-9m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.177000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-35-11m | CMD-35-11m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.190000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-39 | CMD-39 | Riverine Sediment and SPM | Amazon | -12.430000000 | -69.263000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-40 | CMD-40 | Riverine Sediment and SPM | Amazon | -12.427000000 | -69.043000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 CMD-44 | CMD-44 | Riverine Sediment and SPM | Amazon | -13.186000000 | -71.589000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-2 | MMD-2 | Riverine Sediment and SPM | Amazon | -13.058000000 | -71.390000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-10 | MMD-10 | Riverine Sediment and SPM | Amazon | -12.785000000 | -71.378000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-11 | MMD-11 | Riverine Sediment and SPM | Amazon | -12.720000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-28-0m | MMD-28-0m | Riverine Sediment and SPM | Amazon | -12.580000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-28-2m | MMD-28-2m | Riverine Sediment and SPM | Amazon | -12.580000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-28-4m | MMD-28-4m | Riverine Sediment and SPM | Amazon | -12.580000000 | -70.096000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-28-6m | MMD-28-6m | Riverine Sediment and SPM | Amazon | -12.580000000 | -69.752000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-29 | MMD-29 | Riverine Sediment and SPM | Amazon | -12.719000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-0m | MMD-32-0m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-3m | MMD-32-3m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-6m | MMD-32-6m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-8m | MMD-32-8m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-9m | MMD-32-9m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.176000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-32-10m | MMD-32-10m | Riverine Sediment and SPM | Amazon | -12.563000000 | -69.263000000 | Kirkels et al. (2019) | World DB | |||
| Kirkels_2019 MMD-34 | MMD-34 | Riverine Sediment and SPM | Amazon | -12.427000000 | 0.000000000 | Kirkels et al. (2019) | World DB | |||
| Warden_2016/Zell 2014 TR2 | TR2 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR3 | TR3 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR4 | TR4 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR5 | TR5 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR6 | TR6 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR7 | TR7 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR8 | TR8 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR9 | TR9 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR10 | TR10 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR11 | TR11 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Warden_2016/Zell 2014 TR12 | TR12 | Riverine Sediment and SPM | Tagus River | -9.000000000 | 38.940000000 | Warden et al. (2016)/Zell et al. (2014) | World DB | |||
| Naafs_2017_peats 1 Fransne 2008&2010, French Jura 7-12 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 2 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 3 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 4 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 5 Fransne 2008&2010, French Jura 5-7.5 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 6 Fransne 2008&2010, French Jura 12.5-15 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 7 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 8 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 9 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 10 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 11 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 12 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 13 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 14 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 15 Fransne 2008&2010, French Jura 5-7 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 16 Fransne 2008&2010, French Jura 12-17 cm | Fransne 2008&2010, French Jura | Peat | Global peats | 46.800000000 | 6.200000000 | 3.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 17 La Guette, Sologne 7-9 cm | La Guette, Sologne | Peat | Global peats | 47.300000000 | 2.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 18 La Guette, Sologne 17.5-20.5 cm | La Guette, Sologne | Peat | Global peats | 47.300000000 | 2.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 19 La Guette, Sologne 5-7cm | La Guette, Sologne | Peat | Global peats | 47.300000000 | 2.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 20 La Guette, Sologne 17.5-20.5 cm | La Guette, Sologne | Peat | Global peats | 47.300000000 | 2.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 21 Hochrajen 2a (5-10 cm) | Hochrajen | Peat | Global peats | 46.600000000 | 8.000000000 | 4.60 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 22 Hochrajen 4a (15-20 cm) | Hochrajen | Peat | Global peats | 46.600000000 | 8.000000000 | 4.60 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 23 Praz Rodet 2a (5-10 cm) | Praz Rodet | Peat | Global peats | 46.600000000 | 6.200000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 24 Praz Rodet 4a (15-20 cm) | Praz Rodet | Peat | Global peats | 46.600000000 | 6.200000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 25 Sortel 2a (5-10 cm) | Sortel | Peat | Global peats | 46.700000000 | 7.400000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 26 Sortel 4a (15-20 cm) | Sortel | Peat | Global peats | 46.700000000 | 7.400000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 27 Lörmoos 2a (5-10 cm) | Lörmoos | Peat | Global peats | 47.000000000 | 7.400000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 28 Lörmoos 4a (15-20 cm) | Lörmoos | Peat | Global peats | 47.000000000 | 7.400000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 29 Kyambangunguru 1.5 cm | Kyambangunguru | Peat | Global peats | -9.400000000 | 33.800000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 30 Kyambangunguru 15 cm | Kyambangunguru | Peat | Global peats | -9.400000000 | 33.800000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 31 Kyambangunguru 30 cm | Kyambangunguru | Peat | Global peats | -9.400000000 | 33.800000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 32 Kyambangunguru 45 cm | Kyambangunguru | Peat | Global peats | -9.400000000 | 33.800000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 33 Kojle Lake Acro | Kojle Lake | Peat | Global peats | 54.300000000 | 22.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 34 Kojle Lake Cat | Kojle Lake | Peat | Global peats | 54.300000000 | 22.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 35 Teici Bog Acro | Teici Bog | Peat | Global peats | 56.600000000 | 26.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 36 Teici Bog Cat | Teici Bog | Peat | Global peats | 56.600000000 | 26.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 37 Poiana Siol Acro | Poiana Siol | Peat | Global peats | 47.600000000 | 24.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 38 Poiana Siol Cat | Poiana Siol | Peat | Global peats | 47.600000000 | 24.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 39 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 40 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 41 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 42 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 43 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 44 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 45 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 46 Tibetean Plateau NA | Tibetean Plateau | Peat | Global peats | 32.800000000 | 102.500000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 47 Andorra 21 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 48 Andorra 23 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 49 Andorra 25 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 50 Andorra 27 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 51 Andorra 29 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 52 Andorra 31 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 53 Andorra 33 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 54 Andorra 35 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 55 Andorra 37 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 56 Andorra 39 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 57 Andorra 41 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 58 Andorra 43 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 59 Andorra 45 | Andorra | Peat | Global peats | -54.700000000 | -68.300000000 | 5.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 60 Ballyduff Bog 0 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 61 Ballyduff Bog 0 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 62 Ballyduff Bog 2 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 63 Ballyduff Bog 2 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 64 Ballyduff Bog 4 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 65 Ballyduff Bog 6 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 66 Ballyduff Bog 8 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 67 Ballyduff Bog 10 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 68 Ballyduff Bog 18 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 69 Ballyduff Bog 28 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 70 Ballyduff Bog 36 | Ballyduff Bog | Peat | Global peats | 53.100000000 | -8.000000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 71 Bissendorfer Moor 0 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 72 Bissendorfer Moor 2 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 73 Bissendorfer Moor 4 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 74 Bissendorfer Moor 6 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 75 Bissendorfer Moor 10 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 76 Bissendorfer Moor 18 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 77 Bissendorfer Moor 28 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 78 Bissendorfer Moor 36 | Bissendorfer Moor | Peat | Global peats | 52.500000000 | 9.700000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 79 Kontolanrahka 2 | Kontolanrahka | Peat | Global peats | 60.800000000 | 22.800000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 80 Kontolanrahka 7 | Kontolanrahka | Peat | Global peats | 60.800000000 | 22.800000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 81 Kontolanrahka 12 | Kontolanrahka | Peat | Global peats | 60.800000000 | 22.800000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 82 Kontolanrahka 17 | Kontolanrahka | Peat | Global peats | 60.800000000 | 22.800000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 83 Kontolanrahka 42 | Kontolanrahka | Peat | Global peats | 60.800000000 | 22.800000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 84 Butterburn Flow 2 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 85 Butterburn Flow 5 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 86 Butterburn Flow 7 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 87 Butterburn Flow 10 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 88 Butterburn Flow 20 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 89 Butterburn Flow 26 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 90 Butterburn Flow 32 | Butterburn Flow | Peat | Global peats | 55.100000000 | -2.500000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 91 Aucayacu 30 | Aucayacu | Peat | Global peats | -3.900000000 | -74.400000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 92 Aucayacu 80 | Aucayacu | Peat | Global peats | -3.900000000 | -74.400000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 93 Aucayacu 30-40cm | Aucayacu | Peat | Global peats | -3.900000000 | -74.400000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 94 Aucayacu 30-40cm | Aucayacu | Peat | Global peats | -3.900000000 | -74.400000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 95 Riñón 10-20cm | Riñón | Peat | Global peats | -4.900000000 | -74.000000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 96 Mira Flores NA | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 97 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 98 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 99 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 100 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 101 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 102 Mira Flores 80-90cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 103 Mira Flores 80-90cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 104 Mira Flores 30-40cm | Mira Flores | Peat | Global peats | -4.400000000 | -74.100000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 105 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 106 Nueva York 80-90cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 107 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 108 Nueva York 80-90cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 109 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 110 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 111 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 112 Nueva York 30-40cm | Nueva York | Peat | Global peats | -4.400000000 | -74.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 113 SAN JORGE 80-90cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 114 SAN JORGE 70-80cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 115 SAN JORGE 80-90cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 116 SAN JORGE 80-90cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 117 SAN JORGE 70-80cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 118 SAN JORGE 30-40cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 119 SAN JORGE 60-70cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 120 SAN JORGE 70-80cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 121 SAN JORGE 70-80cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 122 SAN JORGE 70-80cm | SAN JORGE | Peat | Global peats | -4.100000000 | -73.200000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 123 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 124 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 125 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 126 Roca Fuerte 20-30cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 127 Roca Fuerte 80-90cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 128 Roca Fuerte 30-40cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 129 Roca Fuerte 30-40cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 130 Roca Fuerte 10-20cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 131 Roca Fuerte 10-20cm | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 132 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 133 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 134 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 135 Roca Fuerte NA | Roca Fuerte | Peat | Global peats | -4.400000000 | -74.800000000 | 4.20 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 136 Buena Vista del Maquía NA | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 137 Buena Vista del Maquía 30-40cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 138 Buena Vista del Maquía 30-40cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 139 Buena Vista del Maquía 30-40cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 140 Buena Vista del Maquía 30-40cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 141 Buena Vista del Maquía 80-90cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 142 Buena Vista del Maquía 30-40cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 143 Buena Vista del Maquía 80-90cm | Buena Vista del Maquía | Peat | Global peats | -6.200000000 | -74.700000000 | 6.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 144 Maquía NA | Maquía | Peat | Global peats | -6.300000000 | -74.800000000 | 6.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 145 Maquía 10-20cm | Maquía | Peat | Global peats | -6.300000000 | -74.800000000 | 6.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 146 Maquía 30-40cm | Maquía | Peat | Global peats | -6.300000000 | -74.800000000 | 6.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 147 Maquía 30-40cm | Maquía | Peat | Global peats | -6.300000000 | -74.800000000 | 6.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 148 Nueva Alianza 30-40cm | Nueva Alianza | Peat | Global peats | -4.700000000 | -75.400000000 | 5.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 149 Nueva Alianza 80-90cm | Nueva Alianza | Peat | Global peats | -4.700000000 | -75.400000000 | 5.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 150 Nueva Alianza 70-80cm | Nueva Alianza | Peat | Global peats | -4.700000000 | -75.400000000 | 5.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 151 Nueva Alianza 60-70cm | Nueva Alianza | Peat | Global peats | -4.700000000 | -75.400000000 | 5.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 152 TACSHACOCHA 30-40cm | TACSHACOCHA | Peat | Global peats | -4.900000000 | -74.300000000 | 5.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 153 TACSHACOCHA 30-40cm | TACSHACOCHA | Peat | Global peats | -4.900000000 | -74.300000000 | 5.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 154 TACSHACOCHA 30-40cm | TACSHACOCHA | Peat | Global peats | -4.900000000 | -74.300000000 | 5.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 155 TACSHACOCHA 30-40cm | TACSHACOCHA | Peat | Global peats | -4.900000000 | -74.300000000 | 5.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 156 QUISTOCOCHA NA | QUISTOCOCHA | Peat | Global peats | -3.800000000 | -73.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 157 QUISTOCOCHA NA | QUISTOCOCHA | Peat | Global peats | -3.800000000 | -73.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 158 QUISTOCOCHA NA | QUISTOCOCHA | Peat | Global peats | -3.800000000 | -73.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 159 Bomfield Swamp 22-23 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 160 Bomfield Swamp 23-24 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 161 Bomfield Swamp 29-30 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 162 Bomfield Swamp 30-31 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 163 Bomfield Swamp 31-32 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 164 Bomfield Swamp 39-40 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 165 Bomfield Swamp 40-41 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 166 Bomfield Swamp 49-50 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 167 Bomfield Swamp 58-59 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 168 Bomfield Swamp 69-70 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 169 Bomfield Swamp 78-79 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 170 Bomfield Swamp 89-90 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 171 Bomfield Swamp 100-101 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 172 Bomfield Swamp 23-24 | Bomfield Swamp | Peat | Global peats | -17.400000000 | 145.500000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 173 SKY1 0 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 174 SKY1 4 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 175 SKY1 8 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 176 SKY1 16 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 177 SKY1 40 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 178 SKY1 44 | SKY1 | Peat | Global peats | -52.500000000 | -72.100000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 179 Sebangau/Saganbau 0-5cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 180 Sebangau/Saganbau 5-10cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 181 Sebangau/Saganbau 10-15cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 182 Sebangau/Saganbau 15-20cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 183 Sebangau/Saganbau 30-35cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 184 Sebangau/Saganbau 50-55cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 185 Sebangau/Saganbau 80-85cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 186 Sebangau/Saganbau 95-100cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 187 Sebangau/Saganbau 0-10cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 188 Sebangau/Saganbau 10-20cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 189 Sebangau/Saganbau 20-30cm | Sebangau/Saganbau | Peat | Global peats | -2.300000000 | 113.900000000 | 3.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 190 Okefenokee Swamp A | Okefenokee Swamp | Peat | Global peats | 30.600000000 | -82.300000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 191 Dismal Swamp A | Dismal Swamp | Peat | Global peats | 36.700000000 | -76.600000000 | 4.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 192 North Carolina Peat (First colony farms) NA | North Carolina Peat (First colony farms) | Peat | Global peats | 35.000000000 | -77.000000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 193 Rhizophora peat (or Shark River peat), Everglades NP NA | Rhizophora peat (or Shark River peat), Everglades NP | Peat | Global peats | 25.200000000 | -81.000000000 | 6.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 194 Okefenokee Swamp NA | Okefenokee Swamp | Peat | Global peats | 30.600000000 | -82.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 195 Snuggedy Swamp Peat (South Carolina) NA | Snuggedy Swamp Peat (South Carolina) | Peat | Global peats | 32.000000000 | -81.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 196 Okefenokee Swamp NA | Okefenokee Swamp | Peat | Global peats | 30.600000000 | -82.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 197 Tamiami Sawgrass Peat NA | Tamiami Sawgrass Peat | Peat | Global peats | 26.000000000 | -81.000000000 | 7.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 198 New York Peat (Fort Drum) NA | New York Peat (Fort Drum) | Peat | Global peats | 44.000000000 | -75.000000000 | 7.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 199 Loxahatchee Sawgrass Peat, Everglades NP NA | Loxahatchee Sawgrass Peat, Everglades NP | Peat | Global peats | 26.000000000 | -80.500000000 | 6.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 200 Loxahatchee Nymphaea Peat, Everglades NP NA | Loxahatchee Nymphaea Peat, Everglades NP | Peat | Global peats | 26.000000000 | -80.500000000 | 7.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 201 Maine Sphagnum peat NA | Maine Sphagnum peat | Peat | Global peats | 45.000000000 | -68.000000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 202 Zalama ZAL 35 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 203 Zalama ZAL 01 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 204 Zalama ZAL 05 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 205 Zalama ZAL 20 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 206 Zalama ZAL 40 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 207 Zalama ZAL 45 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 208 Zalama ZAL 10 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 209 Zalama ZAL 30 | Zalama | Peat | Global peats | 43.100000000 | -3.400000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 210 Chao de Veiga Mol CVM 30 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 211 Chao de Veiga Mol CVM 5 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 212 Chao de Veiga Mol CVM 20 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 213 Chao de Veiga Mol CVM 1 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 214 Chao de Veiga Mol CVM 50 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 215 Chao de Veiga Mol CVM 10 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 216 Chao de Veiga Mol CVM 40 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 217 Chao de Veiga Mol CVM 60 | Chao de Veiga Mol | Peat | Global peats | 43.500000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 218 Borralleiras da Cal Grande BCG 1 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 219 Borralleiras da Cal Grande BCG 3 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 220 Borralleiras da Cal Grande BCG 5 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 221 Borralleiras da Cal Grande BCG 10 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 222 Borralleiras da Cal Grande BCG 15 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 223 Borralleiras da Cal Grande BCG 20 | Borralleiras da Cal Grande | Peat | Global peats | 43.600000000 | -7.500000000 | 4.10 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 231 Pau de Fruta PF 8-10 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 232 Pau de Fruta PF 0-2 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 233 Pau de Fruta PF 38-40 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 234 Pau de Fruta PF 28-30 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 235 Pau de Fruta PF 18-20 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 236 Pau de Fruta PF 34-36 | Pau de Fruta | Peat | Global peats | -18.300000000 | -43.700000000 | 3.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 237 São João da Chapada SJ 34-36 | São João da Chapada | Peat | Global peats | -18.100000000 | -43.800000000 | 3.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 238 São João da Chapada SJ 26-28 | São João da Chapada | Peat | Global peats | -18.100000000 | -43.800000000 | 3.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 239 São João da Chapada SJ 8-10 | São João da Chapada | Peat | Global peats | -18.100000000 | -43.800000000 | 3.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 240 São João da Chapada SJ 40-42 | São João da Chapada | Peat | Global peats | -18.100000000 | -43.800000000 | 3.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 241 São João da Chapada SJ 16-18 | São João da Chapada | Peat | Global peats | -18.100000000 | -43.800000000 | 3.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 242 Sempre Viva SV 34-36 | Sempre Viva | Peat | Global peats | -17.900000000 | -43.800000000 | 3.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 243 Sempre Viva SV 26-28 | Sempre Viva | Peat | Global peats | -17.900000000 | -43.800000000 | 3.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 244 Sempre Viva SV 18-20 | Sempre Viva | Peat | Global peats | -17.900000000 | -43.800000000 | 3.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 245 Sempre Viva SV 46-48 | Sempre Viva | Peat | Global peats | -17.900000000 | -43.800000000 | 3.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 246 Sempre Viva SV 0-2 | Sempre Viva | Peat | Global peats | -17.900000000 | -43.800000000 | 3.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 247 Pinheiros PI 0-2 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 248 Pinheiros PI 44-46 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 249 Pinheiros PI 36-38 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 250 Pinheiros PI 24-26 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 251 Pinheiros PI 14-16 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 252 Pinheiros PI 10-12 | Pinheiros | Peat | Global peats | -18.100000000 | -43.700000000 | 3.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 253 Igarka Site 1+2 20-30 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 254 Igarka Site 1+2 40-50 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 255 Igarka Site 1+2 50-58 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 256 Igarka Site 1+2 <58 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 257 Igarka Site 1+2 20-30 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 258 Igarka Site 1+2 30-40 | Igarka Site 1+2 | Peat | Global peats | 67.500000000 | 86.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 259 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 260 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 261 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 262 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 263 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 264 Walton Moss NA | Walton Moss | Peat | Global peats | 55.000000000 | -2.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 265 Harberton 1 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 266 Harberton 8.5 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 267 Harberton 19.7 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 268 Harberton 34.200000000000003 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 269 Harberton 44.19 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 270 Harberton 53.5 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 271 Harberton 63.5 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 272 Harberton 74.8 | Harberton | Peat | Global peats | -54.900000000 | -67.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 273 Brendan State Forest McDon 0-10A | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 274 Brendan State Forest McDon 0-10C | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 275 Brendan State Forest McDon 10-20B | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 276 Brendan State Forest McDon 10-20C | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 277 Brendan State Forest McDon 20-30A | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 278 Brendan State Forest McDon 20-30C | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 279 Brendan State Forest McDon 30-40A | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 280 Brendan State Forest McDon 30-40B | Brendan State Forest | Peat | Global peats | 39.900000000 | -74.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 281 Stordalen Stord H2 20-20.5 | Stordalen | Peat | Global peats | 68.400000000 | 19.100000000 | 3.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 282 Stordalen Stord H2 21-21.5 | Stordalen | Peat | Global peats | 68.400000000 | 19.100000000 | 3.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 283 Stordalen Stord H2 30-31 | Stordalen | Peat | Global peats | 68.400000000 | 19.100000000 | 3.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 284 Stordalen Stord H2 40-45 | Stordalen | Peat | Global peats | 68.400000000 | 19.100000000 | 3.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 285 Stordalen Stord H2 50-55 | Stordalen | Peat | Global peats | 68.400000000 | 19.100000000 | 3.40 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 286 Bodmin Moor Bodmin moor top | Bodmin Moor | Peat | Global peats | 50.600000000 | -4.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 287 Bodmin Moor Bodmin moor btm | Bodmin Moor | Peat | Global peats | 50.600000000 | -4.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 288 Kosowa mire Kosowa mire (1) | Kosowa mire | Peat | Global peats | 53.800000000 | 16.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 289 Kosowa mire Kosowa mire (2) | Kosowa mire | Peat | Global peats | 53.800000000 | 16.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 290 Poleur Poleur top | Poleur | Peat | Global peats | 50.500000000 | 6.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 291 Poleur Poleur bottom | Poleur | Peat | Global peats | 50.500000000 | 6.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 292 Tanet Tanet 2 bottom | Tanet | Peat | Global peats | 48.100000000 | 7.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 293 Tanet Tanet 3 top | Tanet | Peat | Global peats | 48.100000000 | 7.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 294 Tanet Tanet 3 bottom | Tanet | Peat | Global peats | 48.100000000 | 7.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 295 Tanet Tanet 1 bottom | Tanet | Peat | Global peats | 48.100000000 | 7.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 296 OHM Vicdessos OHM Vicdessos (1) | OHM Vicdessos | Peat | Global peats | 42.800000000 | 1.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 297 OHM Vicdessos OHM Vicdessos (2) | OHM Vicdessos | Peat | Global peats | 42.800000000 | 1.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 298 OHM Vicdessos OHM Vicdessos (3) | OHM Vicdessos | Peat | Global peats | 42.800000000 | 1.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 299 Storamyran Storàmyran (top layer) | Storamyran | Peat | Global peats | 63.700000000 | 20.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 300 Storamyran Storàmyran (bottom layer) | Storamyran | Peat | Global peats | 63.700000000 | 20.100000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 301 Simplon Simplon (top layer) | Simplon | Peat | Global peats | 46.200000000 | 8.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 302 Simplon Simplon (bottom layer) | Simplon | Peat | Global peats | 46.200000000 | 8.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 303 Fjallsjökull Fjallsj√ɬ∂kull (top) | Fjallsjökull | Peat | Global peats | 64.000000000 | 16.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 304 Fjallsjökull Fjallsj√ɬ∂kull (bottom) | Fjallsjökull | Peat | Global peats | 64.000000000 | 16.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 305 Fachepremont Fachepremont (bottom layer) | Fachepremont | Peat | Global peats | 46.100000000 | 7.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 306 Fachepremont Fachepremont (top layer) | Fachepremont | Peat | Global peats | 46.100000000 | 7.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 307 Pinet Fosse Pinet Fosse | Pinet Fosse | Peat | Global peats | 42.900000000 | 2.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 308 Pinet Fosse Pinet top layer | Pinet Fosse | Peat | Global peats | 42.900000000 | 2.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 309 Pinet Fosse Pinet 2nd layer | Pinet Fosse | Peat | Global peats | 42.900000000 | 2.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 310 Linje mire Linje mire (3) | Linje mire | Peat | Global peats | 53.100000000 | 18.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 311 Linje mire Linje mire (1) | Linje mire | Peat | Global peats | 53.100000000 | 18.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 312 N. Norway NA | N. Norway | Peat | Global peats | 69.000000000 | 15.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 313 S. Iceland S. Iceland top | S. Iceland | Peat | Global peats | 63.400000000 | -18.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 314 S. Iceland S. Iceland btm | S. Iceland | Peat | Global peats | 63.400000000 | -18.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 315 Zamarte mire Zamarte mire (1) | Zamarte mire | Peat | Global peats | 53.400000000 | 17.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 316 Zamarte mire Zamarte mire (2) | Zamarte mire | Peat | Global peats | 53.400000000 | 17.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 317 Rzecin mire Rzecin mire 2 | Rzecin mire | Peat | Global peats | 52.500000000 | 16.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 318 Rzecin mire Rzecin mire 3 | Rzecin mire | Peat | Global peats | 52.500000000 | 16.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 319 Rzecin mire Rzecin mire (4) B | Rzecin mire | Peat | Global peats | 52.500000000 | 16.200000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 320 Demoiselle Dendiselle 10 btm | Demoiselle | Peat | Global peats | 48.100000000 | 6.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 321 Demoiselle Dendiselle 12 btm | Demoiselle | Peat | Global peats | 48.100000000 | 6.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 322 Demoiselle Dendiselle (11) | Demoiselle | Peat | Global peats | 48.100000000 | 6.500000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 323 Flesch Flesch top | Flesch | Peat | Global peats | 46.200000000 | 8.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 324 Flesch Flesch btm | Flesch | Peat | Global peats | 46.200000000 | 8.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 325 Hängstli Hangstli btm | Hängstli | Peat | Global peats | 46.800000000 | 7.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 326 Nyabuiyabui sent for 20 | Nyabuiyabui | Peat | Global peats | -0.400000000 | 35.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 327 Nyabuiyabui sent for 40 | Nyabuiyabui | Peat | Global peats | -0.400000000 | 35.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 328 Nyabuiyabui sent for 50 | Nyabuiyabui | Peat | Global peats | -0.400000000 | 35.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 329 Shidodo sent for 0 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 330 Shidodo sent for 5 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 331 Shidodo sent for 10 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 332 Shidodo sent for 20 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 333 Shidodo sent for 40 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 334 Shidodo sent for 50 | Shidodo | Peat | Global peats | -1.000000000 | 34.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 335 Luala sent for 40 | Luala | Peat | Global peats | -9.300000000 | 34.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 336 Luala sent for 50 | Luala | Peat | Global peats | -9.300000000 | 34.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 337 Marula sent for 20 | Marula | Peat | Global peats | -0.200000000 | 36.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 338 Marula sent for 40 | Marula | Peat | Global peats | -0.200000000 | 36.400000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 339 Kitulu sent for 30 | Kitulu | Peat | Global peats | -9.300000000 | 34.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 340 Kitulu sent for 50 | Kitulu | Peat | Global peats | -9.300000000 | 34.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 341 Kitulu sent for 40 | Kitulu | Peat | Global peats | -9.300000000 | 34.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 342 Kitulu 40-41 cm | Kitulu | Peat | Global peats | -9.300000000 | 34.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 343 Piyashiri sent for 0 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 344 Piyashiri sent for 5 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 345 Piyashiri sent for 10 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 346 Piyashiri sent for 40 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 347 Piyashiri sent for 50 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 348 Piyashiri sent for 20 | Piyashiri | Peat | Global peats | 36.000000000 | 139.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 349 Harz, Odersprung Bog 0-5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 350 Harz, Odersprung Bog 44691 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 351 Harz, Odersprung Bog 44849 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 352 Harz, Odersprung Bog 20-22.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 353 Harz, Odersprung Bog 22.5-25 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 354 Harz, Odersprung Bog 30-32.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 355 Harz, Odersprung Bog 32.5-35 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 356 Harz, Odersprung Bog 37.5-40 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 357 Harz, Odersprung Bog 42.5-45 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 358 Harz, Odersprung Bog 50-52.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 359 Harz, Odersprung Bog 60.62.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 360 Harz, Odersprung Bog 67.5-70 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 361 Harz, Odersprung Bog 70-72.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 362 Harz, Odersprung Bog 77.5-80 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 363 Harz, Odersprung Bog 80-82.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 364 Harz, Odersprung Bog 87.5-90 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 365 Harz, Odersprung Bog 90-92.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 366 Harz, Odersprung Bog 9.5-100 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 367 Harz, Odersprung Bog 100-102.5 | Harz, Odersprung Bog | Peat | Global peats | 52.800000000 | 10.600000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 368 Chénéville NA | Chénéville | Peat | Global peats | 45.900000000 | -75.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 369 Chénéville NA | Chénéville | Peat | Global peats | 45.900000000 | -75.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 370 Parc-des-grands-Jardins NA | Parc-des-grands-Jardins | Peat | Global peats | 47.600000000 | -71.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 371 Parc-des-grands-Jardins NA | Parc-des-grands-Jardins | Peat | Global peats | 47.600000000 | -71.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 372 Peace river NA | Peace river | Peat | Global peats | 56.400000000 | -116.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 373 Peace river NA | Peace river | Peat | Global peats | 56.400000000 | -116.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 374 Radisson NA | Radisson | Peat | Global peats | 53.800000000 | -77.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 375 Radisson NA | Radisson | Peat | Global peats | 53.800000000 | -77.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 376 Radisson NA | Radisson | Peat | Global peats | 53.800000000 | -77.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 377 Radisson NA | Radisson | Peat | Global peats | 53.800000000 | -77.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 378 Radisson NA | Radisson | Peat | Global peats | 53.800000000 | -77.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 379 Sainte-Eulalie NA | Sainte-Eulalie | Peat | Global peats | 46.100000000 | -72.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 380 Sainte-Eulalie NA | Sainte-Eulalie | Peat | Global peats | 46.100000000 | -72.300000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 381 Seba beach NA | Seba beach | Peat | Global peats | 53.500000000 | -114.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 382 Seba beach NA | Seba beach | Peat | Global peats | 53.500000000 | -114.900000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 383 Shippagan 527 NA | Shippagan 527 | Peat | Global peats | 47.700000000 | -64.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 384 Shippagan 527 NA | Shippagan 527 | Peat | Global peats | 47.700000000 | -64.700000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 385 SS70-14 NA | SS70-14 | Peat | Global peats | 60.900000000 | -116.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 386 SS70-14 NA | SS70-14 | Peat | Global peats | 60.900000000 | -116.800000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 387 Waswanipi NA | Waswanipi | Peat | Global peats | 49.700000000 | -76.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 388 Waswanipi NA | Waswanipi | Peat | Global peats | 49.700000000 | -76.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 389 Waswanipi NA | Waswanipi | Peat | Global peats | 49.700000000 | -76.000000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 390 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 391 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 392 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 393 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 394 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 395 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 396 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 397 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 398 007G NA | 007G | Peat | Global peats | 56.700000000 | -5.800000000 | 5.00 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 399 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 400 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 401 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 402 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 403 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 404 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 405 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 406 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 407 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 408 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 409 004D NA | 004D | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 410 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 411 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 412 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 413 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 414 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 415 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 416 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 417 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 418 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 419 001A NA | 001A | Peat | Global peats | 56.700000000 | -5.800000000 | 4.30 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 420 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 421 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 422 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 423 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 424 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 425 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 426 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 427 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 428 M3 NA | M3 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 429 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 430 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 431 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 432 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 433 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 434 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 435 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 436 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 437 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 438 M2 NA | M2 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.80 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 439 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 440 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 441 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 442 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 443 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 444 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 445 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 446 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 447 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 448 M4 NA | M4 | Peat | Global peats | 56.700000000 | -5.800000000 | 4.70 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 449 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 450 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 451 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 452 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 453 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 454 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 455 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 456 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 457 M1 NA | M1 | Peat | Global peats | 56.700000000 | -5.800000000 | 5.50 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 458 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 459 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 460 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 461 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 462 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 463 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 464 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 465 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 466 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 467 009I NA | 009I | Peat | Global peats | 56.700000000 | -5.800000000 | 4.90 | Naafs et al. (2017b) | World DB | ||
| Naafs_2017_peats 468 Fallahogy Bog 0 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 469 Fallahogy Bog 5 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 470 Fallahogy Bog 10 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 471 Fallahogy Bog 15 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 472 Fallahogy Bog 25 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Naafs_2017_peats 473 Fallahogy Bog 45 | Fallahogy Bog | Peat | Global peats | 54.800000000 | -6.600000000 | Naafs et al. (2017b) | World DB | |||
| Zhang_2020 A1 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A2 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A3 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A4 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A5 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A6 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A7 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A8 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A9 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A10 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A11 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A12 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Zhang_2020 A13 | Okinawa Trough | Marine | Okinawa Trough | 30.716667000 | 128.133333000 | Zhang et al. (2020) | World DB | |||
| Ceccopieri_2019 A01 | A01 | Marine | Brazil | -22.920000000 | -42.010000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 A02 | A02 | Marine | Brazil | -22.930000000 | -41.900000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 A04 | A04 | Marine | Brazil | -23.140000000 | -41.900000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 A05 | A05 | Marine | Brazil | -23.600000000 | -41.360000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 A06 | A06 | Marine | Brazil | -23.630000000 | -41.330000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 A08 | A08 | Marine | Brazil | -23.690000000 | -41.270000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 A09 | A09 | Marine | Brazil | -23.750000000 | -41.200000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 A10 | A10 | Marine | Brazil | -23.870000000 | -41.080000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 A11 | A11 | Marine | Brazil | -24.020000000 | -40.900000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B01 | B01 | Marine | Brazil | -22.700000000 | -41.900000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B02 | B02 | Marine | Brazil | -22.760000000 | -41.760000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B03 | B03 | Marine | Brazil | -23.000000000 | -41.350000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B04 | B04 | Marine | Brazil | -23.170000000 | -41.050000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 B05 | B05 | Marine | Brazil | -23.190000000 | -41.010000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 B06 | B06 | Marine | Brazil | -23.170000000 | -40.950000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 B07 | B07 | Marine | Brazil | -23.220000000 | -40.960000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 B08 | B08 | Marine | Brazil | -23.230000000 | -40.930000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 B09 | B09 | Marine | Brazil | -23.250000000 | -40.900000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B10 | B10 | Marine | Brazil | -23.310000000 | -40.790000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B11 | B11 | Marine | Brazil | -23.420000000 | -40.600000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 B12 | B12 | Marine | Brazil | -23.760000000 | -40.000000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G03 | G03 | Marine | Brazil | -22.060000000 | -40.170000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G04 | G04 | Marine | Brazil | -22.040000000 | -40.080000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G05 | G05 | Marine | Brazil | -22.100000000 | -40.050000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 G07 | G07 | Marine | Brazil | -22.130000000 | -39.900000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G08 | G08 | Marine | Brazil | -22.120000000 | -39.870000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G09 | G09 | Marine | Brazil | -22.120000000 | -39.820000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G10 | G10 | Marine | Brazil | -22.120000000 | -39.740000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G11 | G11 | Marine | Brazil | -22.170000000 | -39.140000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 G12 | G12 | Marine | Brazil | -22.210000000 | -38.600000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H01 | H01 | Marine | Brazil | -21.720000000 | -40.530000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H02 | H02 | Marine | Brazil | -21.740000000 | -40.290000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H03 | H03 | Marine | Brazil | -21.720000000 | -40.190000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H04 | H04 | Marine | Brazil | -21.720000000 | -40.170000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H05 | H05 | Marine | Brazil | -21.710000000 | -40.150000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 H06 | H06 | Marine | Brazil | -21.740000000 | -40.090000000 | 8.10 | Ceccopieri et al. (2019) | World DB | ||
| Ceccopieri_2019 H07 | H07 | Marine | Brazil | -21.740000000 | -40.040000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H10 | H10 | Marine | Brazil | -21.620000000 | -39.600000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 H11 | H11 | Marine | Brazil | -21.620000000 | -39.050000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I04 | I04 | Marine | Brazil | -21.150000000 | -40.270000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I06 | I06 | Marine | Brazil | -21.230000000 | -40.250000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I07 | I07 | Marine | Brazil | -21.190000000 | -40.210000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I08 | I08 | Marine | Brazil | -21.190000000 | -40.150000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I09 | I09 | Marine | Brazil | -21.190000000 | -40.050000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I10 | I10 | Marine | Brazil | -21.180000000 | -39.660000000 | Ceccopieri et al. (2019) | World DB | |||
| Ceccopieri_2019 I11 | I11 | Marine | Brazil | -21.190000000 | -39.080000000 | Ceccopieri et al. (2019) | World DB | |||
| De Jonge 2015 Siberia_YG1 | Siberia_YG1 | Marine | Siberia | 72.647400000 | 80.136900000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG2b | Siberia_YG2b | Marine | Siberia | 73.082700000 | 79.980100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG3 | Siberia_YG3 | Marine | Siberia | 73.150100000 | 80.490900000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG7 | Siberia_YG7 | Marine | Siberia | 72.556400000 | 79.303100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG8 | Siberia_YG8 | Marine | Siberia | 72.451500000 | 77.053800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG9 | Siberia_YG9 | Marine | Siberia | 72.619900000 | 77.524500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YO1 | Siberia_YO1 | Marine | Siberia | 74.287900000 | 78.621700000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YO2 | Siberia_YO2 | Marine | Siberia | 75.683300000 | 83.200000000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YO3 | Siberia_YO3 | Marine | Siberia | 76.086300000 | 84.862800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KS1 | Siberia_KS1 | Marine | Siberia | 72.337200000 | 65.981100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KS2 | Siberia_KS2 | Marine | Siberia | 77.217200000 | 78.090500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KS3 | Siberia_KS3 | Marine | Siberia | 75.835800000 | 68.913500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KS4 | Siberia_KS4 | Marine | Siberia | 78.483200000 | 72.797500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KB1 | Siberia_KB1 | Marine | Siberia | 71.175200000 | 77.377100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KB2 | Siberia_KB2 | Marine | Siberia | 71.192900000 | 77.459500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KB3 | Siberia_KB3 | Marine | Siberia | 71.224000000 | 77.566700000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KB4 | Siberia_KB4 | Marine | Siberia | 71.244600000 | 77.685800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KG1 | Siberia_KG1 | Marine | Siberia | 71.776000000 | 75.809500000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_KG2 | Siberia_KG2 | Marine | Siberia | 71.777400000 | 75.978700000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_OO1 | Siberia_OO1 | Marine | Siberia | 73.562400000 | 73.302300000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_OO2 | Siberia_OO2 | Marine | Siberia | 73.841800000 | 75.092100000 | De Jonge et al. (2015b) | World DB | |||
| Crampton-Flood 2019 NP-07-13-08 | NP-07-13-08 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-09 | NP-07-13-09 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-10 | NP-07-13-10 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-11 | NP-07-13-11 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-13 | NP-07-13-13 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-14 | NP-07-13-14 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-15 | NP-07-13-15 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-16 | NP-07-13-16 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-21 | NP-07-13-21 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-23 | NP-07-13-23 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-24 | NP-07-13-24 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-25 | NP-07-13-25 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-26 | NP-07-13-26 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-40 | NP-07-13-40 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-41 | NP-07-13-41 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-42 | NP-07-13-42 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-44 | NP-07-13-44 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-46 | NP-07-13-46 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-47 | NP-07-13-47 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-48 | NP-07-13-48 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-49 | NP-07-13-49 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-50 | NP-07-13-50 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-51 | NP-07-13-51 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-52 | NP-07-13-52 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-53 | NP-07-13-53 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-55 | NP-07-13-55 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-60 | NP-07-13-60 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP-07-13-61 | NP-07-13-61 | Marine | Svalbard | 79.000000000 | 11.000000000 | Dearing Crampton-Flood et al. (2019) | World DB | |||
| Crampton-Flood 2019 NP-07-13-64 | NP-07-13-64 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-10 | NP08-16-10 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-11 | NP08-16-11 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-13 | NP08-16-13 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-14 | NP08-16-14 | Marine | Svalbard | 79.000000000 | 11.000000000 | Dearing Crampton-Flood et al. (2019) | World DB | |||
| Crampton-Flood 2019 NP08-16-15 | NP08-16-15 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-16 | NP08-16-16 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-17 | NP08-16-17 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-24 | NP08-16-24 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-30 | NP08-16-30 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-31 | NP08-16-31 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-32 | NP08-16-32 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-33 | NP08-16-33 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-34 | NP08-16-34 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-35 | NP08-16-35 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-36 | NP08-16-36 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-37 | NP08-16-37 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-38 | NP08-16-38 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-39 | NP08-16-39 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-40 | NP08-16-40 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-41 | NP08-16-41 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-42 | NP08-16-42 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-44 | NP08-16-44 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-45 | NP08-16-45 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-46 | NP08-16-46 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-48 | NP08-16-48 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-49 | NP08-16-49 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-50 | NP08-16-50 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-59 | NP08-16-59 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-62 | NP08-16-62 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-63 | NP08-16-63 | Marine | Svalbard | 79.000000000 | 11.000000000 | 8.10 | Dearing Crampton-Flood et al. (2019) | World DB | ||
| Crampton-Flood 2019 NP08-16-64 | NP08-16-64 | Marine | Svalbard | 79.000000000 | 11.000000000 | Dearing Crampton-Flood et al. (2019) | World DB | |||
| Liu_2021 B71 | B71 | Marine | China | 37.733333330 | 120.116666700 | Liu et al. (2021) | World DB | |||
| Liu_2021 B70 | B70 | Marine | China | 37.733333330 | 119.933333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B69 | B69 | Marine | China | 37.733333330 | 119.650000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B68 | B68 | Marine | China | 37.733333330 | 119.400000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B67 | B67 | Marine | China | 37.916666670 | 119.233333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B66 | B66 | Marine | China | 38.050000000 | 119.183333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B65 | B65 | Marine | China | 38.150000000 | 119.116666700 | Liu et al. (2021) | World DB | |||
| Liu_2021 B64 | B64 | Marine | China | 38.216666670 | 119.033333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B63 | B63 | Marine | China | 38.466666670 | 119.166666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B62 | B62 | Marine | China | 38.566666670 | 119.366666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B61 | B61 | Marine | China | 38.850000000 | 119.766666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B60 | B60 | Marine | China | 39.033333330 | 119.933333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B59 | B59 | Marine | China | 39.316666670 | 120.233333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B58 | B58 | Marine | China | 39.450000000 | 120.450000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B57 | B57 | Marine | China | 39.616666670 | 120.600000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B55 | B55 | Marine | China | 39.283333330 | 120.883333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 B54 | B54 | Marine | China | 39.000000000 | 120.800000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B52 | B52 | Marine | China | 39.116666670 | 120.350000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B51 | B51 | Marine | China | 39.166666670 | 120.066666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B50 | B50 | Marine | China | 39.300000000 | 119.700000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B49 | B49 | Marine | China | 38.983333330 | 118.950000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B48 | B48 | Marine | China | 38.816666670 | 118.966666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B47 | B47 | Marine | China | 38.666666670 | 118.966666700 | Liu et al. (2021) | World DB | |||
| Liu_2021 B45 | B45 | Marine | China | 38.316666670 | 119.000000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B44 | B44 | Marine | China | 38.316666670 | 119.200000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 B43 | B43 | Marine | China | 38.316666670 | 119.433333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B41 | B41 | Marine | China | 38.333333330 | 120.166666700 | Liu et al. (2021) | World DB | |||
| Liu_2021 B40 | B40 | Marine | China | 38.333333330 | 120.450000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B39 | B39 | Marine | China | 38.316666670 | 120.700000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 B38 | B38 | Marine | China | 38.183333330 | 120.466666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y1 | Y1 | Marine | China | 37.900000000 | 121.133333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y2 | Y2 | Marine | China | 38.266666670 | 121.100000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y3 | Y3 | Marine | China | 38.700000000 | 122.000000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y4 | Y4 | Marine | China | 38.183333330 | 121.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y5 | Y5 | Marine | China | 37.950000000 | 121.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y6 | Y6 | Marine | China | 37.700000000 | 122.000000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y7 | Y7 | Marine | China | 37.683333330 | 122.466666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y8 | Y8 | Marine | China | 37.966666670 | 122.600000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y9 | Y9 | Marine | China | 38.216666670 | 122.733333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y10 | Y10 | Marine | China | 38.500000000 | 122.866666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y11 | Y11 | Marine | China | 38.733333330 | 123.000000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y12 | Y12 | Marine | China | 38.416666670 | 123.466666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y13 | Y13 | Marine | China | 38.133333330 | 123.250000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y14 | Y14 | Marine | China | 37.683333330 | 122.883333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y15 | Y15 | Marine | China | 36.983333330 | 123.166666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y16 | Y16 | Marine | China | 36.983333330 | 122.950000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y17 | Y17 | Marine | China | 36.816666670 | 122.583333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y18 | Y18 | Marine | China | 36.466666670 | 122.933333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y19 | Y19 | Marine | China | 36.250000000 | 123.216666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y20 | Y20 | Marine | China | 35.000000000 | 120.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y21 | Y21 | Marine | China | 35.483333330 | 122.000000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y22 | Y22 | Marine | China | 35.450000000 | 122.350000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y23 | Y23 | Marine | China | 35.483333330 | 122.966666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y24 | Y24 | Marine | China | 35.483333330 | 123.483333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y25 | Y25 | Marine | China | 33.000000000 | 124.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y26 | Y26 | Marine | China | 33.000000000 | 124.500000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y27 | Y27 | Marine | China | 33.983333330 | 123.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y28 | Y28 | Marine | China | 34.000000000 | 123.066666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y29 | Y29 | Marine | China | 33.983333330 | 122.666666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y30 | Y30 | Marine | China | 33.983333330 | 122.316666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y31 | Y31 | Marine | China | 33.983333330 | 121.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y32 | Y32 | Marine | China | 33.950000000 | 121.500000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y33 | Y33 | Marine | China | 34.983333330 | 121.316666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y34 | Y34 | Marine | China | 34.983333330 | 121.633333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y35 | Y35 | Marine | China | 35.000000000 | 121.983333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y36 | Y36 | Marine | China | 35.000000000 | 122.333333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y37 | Y37 | Marine | China | 34.983333330 | 122.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y38 | Y38 | Marine | China | 35.000000000 | 123.983333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y39 | Y39 | Marine | China | 35.983333330 | 123.983333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y40 | Y40 | Marine | China | 35.983333330 | 123.483333300 | Liu et al. (2021) | World DB | |||
| Liu_2021 Y41 | Y41 | Marine | China | 35.983333330 | 123.016666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y42 | Y42 | Marine | China | 35.983333330 | 122.633333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y43 | Y43 | Marine | China | 35.983333330 | 122.316666700 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y44 | Y44 | Marine | China | 35.983333330 | 121.983333300 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 Y45 | Y45 | Marine | China | 36.000000000 | 121.650000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 E1 | E1 | Marine | China | 31.000600000 | 122.219200000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E2 | E2 | Marine | China | 30.947320000 | 122.255200000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E3 | E3 | Marine | China | 30.905150000 | 122.379100000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E4 | E4 | Marine | China | 30.864520000 | 122.501900000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E5 | E5 | Marine | China | 30.858470000 | 122.607000000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E6 | E6 | Marine | China | 30.787280000 | 122.807700000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E7 | E7 | Marine | China | 30.721700000 | 122.997300000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E8 | E8 | Marine | China | 30.654650000 | 123.227400000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E9 | E9 | Marine | China | 30.562870000 | 123.491600000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E10 | E10 | Marine | China | 30.516520000 | 123.847800000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E11 | E11 | Marine | China | 30.441400000 | 123.998100000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E12 | E12 | Marine | China | 29.995100000 | 124.685200000 | Liu et al. (2021) | World DB | |||
| Liu_2021 E13 | E13 | Marine | China | 29.998600000 | 125.498800000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 E14 | E14 | Marine | China | 29.999100000 | 125.900000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021 E15 | E15 | Marine | China | 31.983333330 | 124.500000000 | 8.10 | Liu et al. (2021) | World DB | ||
| Liu_2021/Cao_2020 E-B69 | E-B69 | Marine | China | 27.920000000 | 123.340000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B80 | E-B80 | Marine | China | 28.180000000 | 122.760000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B54 | E-B54 | Marine | China | 27.140000000 | 122.760000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B57 | E-B57 | Marine | China | 27.400000000 | 122.180000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B38 | E-B38 | Marine | China | 26.680000000 | 121.880000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B8 | E-B8 | Marine | China | 26.020000000 | 121.510000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B21 | E-B21 | Marine | China | 26.360000000 | 120.930000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B43 | E-B43 | Marine | China | 26.830000000 | 121.510000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B49 | E-B49 | Marine | China | 27.140000000 | 121.270000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B79 | E-B79 | Marine | China | 28.180000000 | 122.470000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B89 | E-B89 | Marine | China | 28.430000000 | 122.240000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B20 | E-B20 | Marine | China | 26.360000000 | 120.730000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B30 | E-B30 | Marine | China | 26.540000000 | 120.540000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B75 | E-B75 | Marine | China | 27.920000000 | 121.600000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B74 | E-B74 | Marine | China | 27.890000000 | 121.800000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B64 | E-B64 | Marine | China | 27.660000000 | 121.890000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B61 | E-B61 | Marine | China | 27.410000000 | 120.930000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B31 | E-B31 | Marine | China | 26.540000000 | 120.350000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B94 | E-B94 | Marine | China | 27.540000000 | 120.870000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Liu_2021/Cao_2020 E-B90 | E-B90 | Marine | China | 28.430000000 | 121.940000000 | Liu et al. (2021)/Cao et al. (2020) | World DB | |||
| Damste_2016 1C | 1C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 2A | 2A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 2B | 2B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 3A | 3A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 4B | 4B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 8A | 8A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 8B | 8B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 10A | 10A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 11A | 11A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 11B | 11B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 12A | 12A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 12B | 12B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 13B | 13B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 14B | 14B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 15B | 15B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 16A | 16A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 16C | 16C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 18A | 18A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 20A | 20A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 21A | 21A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 21B | 21B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 22A | 22A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 23B | 23B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 23C | 23C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 24A | 24A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 25B | 25B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 26B | 26B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 27A | 27A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 28A | 28A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 29C | 29C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 32A | 32A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 33A | 33A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 34A | 34A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 35B | 35B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 36B | 36B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 37C | 37C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 38A | 38A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 39B | 39B | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 40A | 40A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 41A | 41A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 42A | 42A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 43C | 43C | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Damste_2016 44A | 44A | Marine | Indonesia | 1.900000000 | 118.300000000 | Sinninghe Damsté (2016) | World DB | |||
| Warden_2016/Dearing Crampton-Flood 2018 64PE332-30-2-1cm | 64PE332-30-2-1cm | Marine | Portuguese Margin | 38.650611000 | -9.468800000 | Warden et al. (2016)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Warden_2016/Dearing Crampton-Flood 2018 64PE332-44-2 1cm | 64PE332-44-2 1cm | Marine | Portuguese Margin | 38.505608000 | -9.251353000 | Warden et al. (2016)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Warden_2016/Dearing Crampton-Flood 2018 64PE269-39-4-1cm | 64PE269-39-4-1cm | Marine | Portuguese Margin | 38.220000000 | -10.166667000 | Warden et al. (2016)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Zell 2015/Dearing Crampton-Flood 2018 E4 Sado transect | E4 Sado transect | Marine | Portuguese Margin | 38.330000000 | -9.260000000 | 8.10 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | ||
| Zell 2015/Dearing Crampton-Flood 2018 E3 Sado transect | E3 Sado transect | Marine | Portuguese Margin | 38.340000000 | -9.240000000 | 8.10 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | ||
| Zell 2015/Dearing Crampton-Flood 2018 E2 Sado transect | E2 Sado transect | Marine | Portuguese Margin | 38.420000000 | -9.060000000 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Zell 2015/Dearing Crampton-Flood 2018 D6 Tagus transect | D6 Tagus transect | Marine | Portuguese Margin | 38.390000000 | -9.430000000 | 8.10 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | ||
| Zell 2015/Dearing Crampton-Flood 2018 D5 Tagus transect | D5 Tagus transect | Marine | Portuguese Margin | 38.420000000 | -9.420000000 | 8.10 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | ||
| Zell 2015/Dearing Crampton-Flood 2018 C4 Estramadura transect | C4 Estramadura transect | Marine | Portuguese Margin | 38.970000000 | -9.640000000 | 8.10 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | ||
| Zell 2015/Dearing Crampton-Flood 2018 C3 Estramadura transect | C3 Estramadura transect | Marine | Portuguese Margin | 39.030000000 | -9.670000000 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Zell 2015/Dearing Crampton-Flood 2018 A4 Duoro transect | A4 Duoro transect | Marine | Portuguese Margin | 41.130000000 | -9.080000000 | Zell et al. (2015)/Dearing Crampton-Flood et al. (2018) | World DB | |||
| Xiao_2020 MT 0-2 | MT 0-2 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 2-3 | MT 2-3 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 3-4 | MT 3-4 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 4-5 | MT 4-5 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 5-6 | MT 5-6 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 6-7 | MT 6-7 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 7-8 | MT 7-8 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 8-9 | MT 8-9 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 9-10 | MT 9-10 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xiao_2020 MT 10-11 | MT 10-11 | Marine | Mariana Trench | 11.430821670 | 142.363010000 | Xiao et al. (2020) | World DB | |||
| Xu_2020 K3-1 | K3-1 | Marine | Kermadec Trench | -30.380000000 | -176.640000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 K4-1 | K4-1 | Marine | Kermadec Trench | -31.140000000 | -176.810000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 K5-1 | K5-1 | Marine | Kermadec Trench | -31.940000000 | -177.290000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 K6-1 | K6-1 | Marine | Kermadec Trench | -32.150000000 | -177.400000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 K7-1 | K7-1 | Marine | Kermadec Trench | -32.190000000 | -176.560000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N1-1 | N1-1 | Marine | New Britain Trench | -5.870000000 | 152.430000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N2-1 | N2-1 | Marine | New Britain Trench | -6.330000000 | 152.710000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N3-1 | N3-1 | Marine | New Britain Trench | -6.100000000 | 152.560000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N4-1 | N4-1 | Marine | New Britain Trench | -5.560000000 | 152.240000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N6-1 | N6-1 | Marine | New Britain Trench | -6.360000000 | 153.830000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N7-1 | N7-1 | Marine | New Britain Trench | -6.240000000 | 154.540000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 N10-1 | N10-1 | Marine | New Britain Trench | -6.800000000 | 153.190000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A1-1 | A1-1 | Marine | Atacama Trench | -23.810000000 | -70.830000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A2-1 | A2-1 | Marine | Atacama Trench | -21.780000000 | -71.210000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A3-1 | A3-1 | Marine | Atacama Trench | -23.050000000 | -71.300000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A4-1 | A4-1 | Marine | Atacama Trench | -23.360000000 | -71.340000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A5-1 | A5-1 | Marine | Atacama Trench | -23.820000000 | -71.370000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A6-1 | A6-1 | Marine | Atacama Trench | -24.270000000 | -71.420000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A7-1 | A7-1 | Marine | Atacama Trench | -22.940000000 | -71.620000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A9-1 | A9-1 | Marine | Atacama Trench | -20.330000000 | -70.980000000 | Xu et al. (2020) | World DB | |||
| Xu_2020 A10-1 | A10-1 | Marine | Atacama Trench | -20.320000000 | -71.290000000 | Xu et al. (2020) | World DB | |||
| De Jonge 2015 Siberia_YG2a | Siberia_YG2a | Marine | Siberia | 73.082700000 | 79.980100000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG4 | Siberia_YG4 | Marine | Siberia | 73.360300000 | 80.490900000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG5 | Siberia_YG5 | Marine | Siberia | 73.400600000 | 80.475800000 | De Jonge et al. (2015b) | World DB | |||
| De Jonge 2015 Siberia_YG6 | Siberia_YG6 | Marine | Siberia | 72.718600000 | 79.114900000 | De Jonge et al. (2015b) | World DB | |||
| Martinez_Sosa_2019 S. 2w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 S. 4w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 S. 6w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 S. 7w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 S. 11w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NS. 0w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NS. 2w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NS. 4w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NS. 8w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NS. 9w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 MNS. 2w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 MNS 4w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 Oxic 4w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 LO 2w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 LO 4w | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 Control | Rose Canyon Lake | Lacustrine | USA | 32.386944000 | -110.711389000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NG. 2w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 NG. 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 G. 2w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2019 G. 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | Martínez-Sosa et al. (2019) | World DB | |||
| Martinez_Sosa_2020 Time 0 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 9C 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 18C 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 27C 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 35C 4w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 9C 6w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 18C 6w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 27C 6w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 35C 6w | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 T0 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 C-B | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 7.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 C+B | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 8.30 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 pH7 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 7.70 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 pH6 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 6.70 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 pH5 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 5.50 | Martínez-Sosa et al. (2020) | World DB | ||
| Martinez_Sosa_2020 pH4 | Kennedy Lake | Lacustrine | USA | 32.181111000 | -111.008056000 | 4.30 | Martínez-Sosa et al. (2020) | World DB | ||
| Cao_2020 D_avg | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 8.44 | 6.74E002 | Cao et al. (2020) | World DB | |
| Dang_2018_6 | Longquanlongwan a | Lacustrine | China | 42.420000000 | 126.600000000 | 7.80 | Dang et al. (2018) | World DB | ||
| Dang_2018_7 | Nanlongwan a | Lacustrine | China | 42.410000000 | 126.480000000 | 8.00 | Dang et al. (2018) | World DB | ||
| Dang_2018_8 | Erlongwan a | Lacustrine | China | 42.300000000 | 126.380000000 | 7.80 | Dang et al. (2018) | World DB | ||
| Dang_2018_9 | Dalongwan a | Lacustrine | China | 42.340000000 | 126.390000000 | 8.00 | Dang et al. (2018) | World DB | ||
| Dang_2018_13 | Lake Chagan | Lacustrine | China | 45.210000000 | 124.330000000 | 8.30 | 3.39E002 | Dang et al. (2018) | World DB | |
| Dang_2018_15 | Lake Wolong | Lacustrine | China | 42.750000000 | 123.290000000 | 8.30 | 9.39E002 | Dang et al. (2018) | World DB | |
| Dang_2018_16 | Cetian | Lacustrine | China | 39.970000000 | 113.770000000 | 9.30 | 2.20E003 | Dang et al. (2018) | World DB | |
| Dang_2018_17 | Lake zhenzhu | Lacustrine | China | 41.740000000 | 122.860000000 | 9.20 | 3.46E002 | Dang et al. (2018) | World DB | |
| Dang_2018_18 | Guanting | Lacustrine | China | 40.370000000 | 115.760000000 | 8.50 | 1.03E003 | Dang et al. (2018) | World DB | |
| Dang_2018_19 | Yuqiao | Lacustrine | China | 40.030000000 | 117.520000000 | 9.50 | 3.58E002 | Dang et al. (2018) | World DB | |
| Dang_2018_20 | Xidayang | Lacustrine | China | 38.750000000 | 114.770000000 | 8.10 | 3.17E002 | Dang et al. (2018) | World DB | |
| Dang_2018_21 | Baiyangdian | Lacustrine | China | 38.930000000 | 115.990000000 | 8.20 | 6.29E002 | Dang et al. (2018) | World DB | |
| Dang_2018_22 | Lake Hengshui | Lacustrine | China | 37.630000000 | 115.620000000 | 8.60 | 8.29E002 | Dang et al. (2018) | World DB | |
| Dang_2018_23 | Lake Dongping | Lacustrine | China | 35.960000000 | 116.200000000 | 8.80 | 5.21E002 | Dang et al. (2018) | World DB | |
| Dang_2018_24 | Fenghe b | Lacustrine | China | 34.330000000 | 108.740000000 | 8.30 | Dang et al. (2018) | World DB | ||
| Dang_2018_25 | Lake Dushan | Lacustrine | China | 35.080000000 | 116.770000000 | 8.60 | 9.27E002 | Dang et al. (2018) | World DB | |
| Dang_2018_26 | Lake Luoma | Lacustrine | China | 34.070000000 | 118.160000000 | 8.50 | 3.37E002 | Dang et al. (2018) | World DB | |
| Dang_2018_27 | Lake Hongze | Lacustrine | China | 33.310000000 | 118.750000000 | 8.40 | 3.12E002 | Dang et al. (2018) | World DB | |
| Dang_2018_28 | Lake Weishan | Lacustrine | China | 34.610000000 | 117.260000000 | 8.20 | 8.79E002 | Dang et al. (2018) | World DB | |
| Dang_2018_29 | Lake Gaoyou | Lacustrine | China | 32.820000000 | 119.350000000 | 8.70 | 3.09E002 | Dang et al. (2018) | World DB | |
| Dang_2018_30 | Lake Changdang | Lacustrine | China | 31.630000000 | 119.570000000 | 8.30 | 3.21E002 | Dang et al. (2018) | World DB | |
| Dang_2018_31 | Lake Shijiu | Lacustrine | China | 31.500000000 | 118.940000000 | 8.80 | 1.51E002 | Dang et al. (2018) | World DB | |
| Dang_2018_32 | Lake Yangcheng | Lacustrine | China | 31.430000000 | 120.800000000 | 8.40 | 4.77E002 | Dang et al. (2018) | World DB | |
| Dang_2018_33 | Lake Chang | Lacustrine | China | 30.440000000 | 112.450000000 | 8.60 | 2.75E002 | Dang et al. (2018) | World DB | |
| Dang_2018_34 | Lake Caizi | Lacustrine | China | 30.790000000 | 117.100000000 | 8.60 | 1.17E002 | Dang et al. (2018) | World DB | |
| Dang_2018_35 | Lake Chao | Lacustrine | China | 31.570000000 | 117.670000000 | 8.70 | 2.02E002 | Dang et al. (2018) | World DB | |
| Dang_2018_36 | Lake Hong | Lacustrine | China | 29.900000000 | 113.400000000 | 8.70 | 2.31E002 | Dang et al. (2018) | World DB | |
| Dang_2018_37 | Lake Wuchang | Lacustrine | China | 30.270000000 | 116.690000000 | 8.30 | 8.22E001 | Dang et al. (2018) | World DB | |
| Dang_2018_38 | Lake Liangzi | Lacustrine | China | 30.230000000 | 114.600000000 | 8.70 | 1.41E002 | Dang et al. (2018) | World DB | |
| Dang_2018_39 | Lake Longgan | Lacustrine | China | 29.920000000 | 116.110000000 | 8.60 | 1.76E002 | Dang et al. (2018) | World DB | |
| Martinez_Sosa_2021_LS1 | Flatworm Lake | Lacustrine | Global | 7.321750000 | 134.506066700 | 8.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS2 | Black Lake | Lacustrine | Global | 37.808055560 | -118.572777800 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS4 | Big Croc Lake | Lacustrine | Global | 7.154433333 | 134.369650000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS5 | Ghayal ba Wazir | Lacustrine | Global | 14.770800000 | 49.374200000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS6 | Lake Adley | Lacustrine | Global | 46.133816660 | -95.336100000 | 8.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS7 | Simon Lake | Lacustrine | Global | 46.392433330 | -81.202641670 | 7.40 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS8 | Hot Water Lake | Lacustrine | Global | 7.150950000 | 134.350383300 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS9 | Lake Monoun | Lacustrine | Global | 5.580000000 | 10.587000000 | 7.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS10 | Emerald Lake | Lacustrine | Global | 40.468191000 | -121.519061000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS11 | Battle Lake | Lacustrine | Global | 72.591666670 | -77.966750000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS12 | Lake Nicaragua | Lacustrine | Global | 11.550000000 | -85.350000000 | 7.35 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS13 | Vestre Gisholtsvatn | Lacustrine | Global | 63.945186110 | -20.518080000 | 7.70 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS14 | Rice Portage Lake | Lacustrine | Global | 46.691983330 | -92.705277780 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS15 | Big Soda Lake | Lacustrine | Global | 39.525432530 | -118.878624000 | 9.70 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS16 | Hidden Lake | Lacustrine | Global | 40.505940000 | -106.607400000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS17 | Elk Lake | Lacustrine | Global | 47.187566670 | -95.216350000 | 7.70 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS18 | Lake Turkana | Lacustrine | Global | 4.286097670 | 36.204511090 | 9.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS19 | Lago de Sanabria | Lacustrine | Global | 42.118514300 | -6.722424222 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS20 | Mono Lake | Lacustrine | Global | 37.988730000 | -119.138210000 | 9.70 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS21 | Lake Malawi | Lacustrine | Global | -13.870000000 | 34.885000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS22 | Laguna de Juanacatlan | Lacustrine | Global | 20.629420000 | -104.736450000 | 8.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS23 | North Boettcher Lake | Lacustrine | Global | 40.866660000 | -106.530170000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS24 | Lagoa Mandiore | Lacustrine | Global | -18.113610000 | -57.562453000 | 8.30 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS25 | Lake Quinault | Lacustrine | Global | 47.480480000 | -123.856710000 | 7.60 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS26 | Lake Kivu | Lacustrine | Global | -2.069010000 | 29.311680000 | 8.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS27 | Big Beer | Lacustrine | Global | 53.126117000 | -60.104075000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS28 | Lake Malawi | Lacustrine | Global | -11.578330000 | 34.331670000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS29 | Taggart Lake | Lacustrine | Global | 43.702530000 | -110.757070000 | 8.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS30 | Deming Lake | Lacustrine | Global | 47.168980000 | -95.169110000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS31 | Crater Lake | Lacustrine | Global | 42.926922150 | -122.150200200 | 7.51 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS33 | Fallen Leaf Lake | Lacustrine | Global | 38.905510000 | -120.059730000 | 7.30 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS34 | Eva Lake | Lacustrine | Global | 49.248900000 | -82.225300000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS35 | Utwe Biosphere Reserve | Lacustrine | Global | 5.284733333 | 162.964683300 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS36 | Lac de Courval | Lacustrine | Global | 48.832200000 | -78.998500000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS37 | Crooked Meadow | Lacustrine | Global | 37.818770000 | -118.847350000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS38 | Lake Edward | Lacustrine | Global | -0.258330000 | 29.583333330 | 9.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS39 | Zaca Lake | Lacustrine | Global | 34.777770000 | -120.039200000 | 8.40 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS42 | Lake Van | Lacustrine | Global | 38.939924900 | 43.567502800 | 9.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS43 | Poisonwood Blue Hole | Lacustrine | Global | 25.013030000 | -77.451290000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS44 | Wawagosic Lake | Lacustrine | Global | 49.326500000 | -78.662600000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS45 | Lago Santa Maria del Oro | Lacustrine | Global | 21.367970000 | -104.569500000 | 8.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS47 | Lake Gagouba | Lacustrine | Global | 7.108000000 | 13.690000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS48 | Lake Malawi | Lacustrine | Global | -10.543330000 | 34.568330000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS49 | Laguna Amarga | Lacustrine | Global | -50.975600000 | -72.749400000 | 8.40 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS50 | Dunn Lake | Lacustrine | Global | 49.037100000 | -81.159330000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS51 | Laguna del Negro Francisco | Lacustrine | Global | -27.460000000 | -69.230000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS52 | Lac Montbeillard | Lacustrine | Global | 48.106400000 | -79.117300000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS53 | Challpa chocha | Lacustrine | Global | -13.910790000 | -70.871190000 | 8.26 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS56 | St Louis River | Lacustrine | Global | 46.690322000 | -92.189019000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS57 | Laguna de los Pozuelos | Lacustrine | Global | -22.362140000 | -66.003550000 | 8.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS59 | Lago Grande Estana | Lacustrine | Global | 42.027230000 | 0.530510000 | 8.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS61 | Buyucekmece | Lacustrine | Global | 41.093650000 | 28.538830000 | 7.60 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS63 | Bear Lake | Lacustrine | Global | 40.776000000 | -106.633000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS64 | Beaver Lake | Lacustrine | Global | 40.753000000 | -106.686000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS65 | Lower Paintrock Lake | Lacustrine | Global | 44.392923000 | -107.381568000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS66 | Duncan lake | Lacustrine | Global | 44.647581000 | -107.446677000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS69 | Rainbow Lake_11m | Lacustrine | Global | 44.936179000 | -109.501041000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS72 | Lake Eileen | Lacustrine | Global | 40.902000000 | -106.673000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS73 | Gem Lake | Lacustrine | Global | 40.881000000 | -106.734000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS74 | Unnamed | Lacustrine | Global | 40.506000000 | -106.617000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS75 | Middle Rainbow Lake | Lacustrine | Global | 40.648000000 | -106.624000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS76 | Round Mountain Lake | Lacustrine | Global | 40.585058000 | -106.678341000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS77 | Seven Lakes | Lacustrine | Global | 40.896000000 | -106.681000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS78 | Teal Lake | Lacustrine | Global | 40.583000000 | -106.608000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS79 | Whale Lake | Lacustrine | Global | 40.556000000 | -106.675000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS80 | Queen Sewell Pond | Lacustrine | Global | 41.756200000 | -70.603550000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS81 | Rocky Pond | Lacustrine | Global | 41.886200000 | -70.694750000 | 4.90 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS82 | Sunfish Pond | Lacustrine | Global | 41.644880000 | -76.697840000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS83 | Stealing Lake | Lacustrine | Global | 30.462800000 | -85.894940000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS84 | Lake Jackson | Lacustrine | Global | 31.000116670 | -86.322766670 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS85 | Griffin Mill Pond | Lacustrine | Global | 30.568883000 | -85.549583330 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS86 | Rattlesnake Lake | Lacustrine | Global | 30.459483000 | -85.566966670 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS87 | Little Rattlesnake Lake | Lacustrine | Global | 30.462533000 | -85.573517000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS88 | Henry Lee Pond | Lacustrine | Global | 30.525150000 | -85.855480000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS89 | Floodplain Lake 4 | Lacustrine | Global | 30.535800000 | -85.871650000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS90 | False River | Lacustrine | Global | 30.691150000 | -91.418610000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS91 | Lake Bruin | Lacustrine | Global | 31.963120000 | -91.201630000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS92 | Tokun Lake | Lacustrine | Global | 60.409000000 | -144.303000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS93 | Cabin Lake | Lacustrine | Global | 60.530000000 | -145.460000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS94 | Cub Lake | Lacustrine | Global | 60.580000000 | -152.360000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS95 | Mother Goose Lake | Lacustrine | Global | 57.200000000 | -157.340000000 | 4.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS96 | Andrew Lake | Lacustrine | Global | 51.940000000 | -176.640000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS97 | Allison Lake | Lacustrine | Global | 61.050000000 | -146.350000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS98 | Ashley Lake / Heart Lake | Lacustrine | Global | 51.852000000 | -176.690000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS99 | Redoubt Lake | Lacustrine | Global | 60.630000000 | -152.430000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS100 | Shirley Lake | Lacustrine | Global | 51.927000000 | -176.556000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS101 | Lower Ohmer Lake | Lacustrine | Global | 60.456000000 | -150.316000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS102 | Lone Spruce Pond | Lacustrine | Global | 60.007000000 | -159.143000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS103 | Cascade Lake 2009 | Lacustrine | Global | 60.139311110 | -159.405383300 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS104 | Hidden Lake | Lacustrine | Global | 60.480000000 | -150.270000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS105 | Judd Lake | Lacustrine | Global | 61.570000000 | -151.560000000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS106 | Upper Togiak Lake | Lacustrine | Global | 59.859000000 | -159.455000000 | 7.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS107 | Shadow Bay Lake | Lacustrine | Global | 60.007000000 | -159.185000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS108 | Sheep Lake | Lacustrine | Global | 60.035065000 | -150.369927000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS109 | Robe Lake | Lacustrine | Global | 61.087000000 | -146.143000000 | 7.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS110 | Arolik Lake slime | Lacustrine | Global | 59.463269440 | -161.104202800 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS111 | Emerald Lake | Lacustrine | Global | 59.630000000 | -151.074000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS112 | High Lake | Lacustrine | Global | 59.965000000 | -159.486000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS113 | Ptarmigan Lake | Lacustrine | Global | 61.150000000 | -145.720000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS114 | Greyling lake | Lacustrine | Global | 61.382000000 | -145.738000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS115 | Mica Lake | Lacustrine | Global | 60.920000000 | -147.869000000 | 6.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_LS116 | Shainin Pond | Lacustrine | Global | 68.331000000 | -151.091000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS117 | Cascade Lake 2012 | Lacustrine | Global | 68.378000000 | -154.602000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS118 | Shainin Lake | Lacustrine | Global | 68.340000000 | -151.061000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS119 | Upper Kurupa | Lacustrine | Global | 68.217311110 | -154.495361100 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_LS120 | Kurupa Lake | Lacustrine | Global | 68.350000000 | -154.610000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S1 | Overland Pond | Lacustrine | Global | 40.621149000 | -103.182135000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S2 | Anthelope Lake | Lacustrine | Global | 39.374267400 | -100.112218000 | 7.12 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S3 | T1L3 | Lacustrine | Global | 37.765799000 | -97.324849000 | 10.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S4 | Spring Pond | Lacustrine | Global | 37.060800000 | -94.730900000 | 7.60 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S5 | Lake Ferguson | Lacustrine | Global | 35.882772000 | -92.631037000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S6 | Bear Creek Lake | Lacustrine | Global | 34.712021800 | -90.693319000 | 7.60 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S7 | Lamar County Lake | Lacustrine | Global | 33.778650000 | -88.273888890 | 6.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S8 | T1L8 | Lacustrine | Global | 32.350482000 | -86.207269000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S9 | T1L9 | Lacustrine | Global | 31.389447000 | -84.396433000 | 6.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S10 | Fishing Rd Lake | Lacustrine | Global | 31.674416000 | -81.810922000 | 7.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S11 | Turkey Hill Lake | Lacustrine | Global | 33.553220000 | -80.846862000 | 7.60 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S12 | Wheatfield Pond | Lacustrine | Global | 35.170234000 | -79.675266000 | 7.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S13 | Buffalo Rd. Pond | Lacustrine | Global | 36.623860000 | -78.578600000 | 7.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S14 | Locust Shade Pond | Lacustrine | Global | 38.537359000 | -77.346621000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S15 | Middle Creek Reservoir | Lacustrine | Global | 40.272898000 | -76.231554000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S16 | T2L17 | Lacustrine | Global | 41.656017000 | -74.700814000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S17 | Carter's Pond | Lacustrine | Global | 43.163874000 | -73.421451000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S18 | Arms House Pond | Lacustrine | Global | 41.951403000 | -70.664925000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S19 | Batterson Park Pond | Lacustrine | Global | 41.708085000 | -72.790683000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S20 | Beaver Medows Lake | Lacustrine | Global | 41.521500000 | -79.111000000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S21 | Norwalk Upper Reservoir | Lacustrine | Global | 41.233833000 | -82.579083000 | 8.40 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S22 | Eagle Lake | Lacustrine | Global | 41.435467000 | -85.574917000 | 7.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S23 | Lake Mendota | Lacustrine | Global | 41.558650000 | -89.132833000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S24 | Quarry Spring Lake | Lacustrine | Global | 41.687167000 | -93.239933000 | 7.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S25 | Cottonwood Cove Lake | Lacustrine | Global | 41.448491000 | -96.568485000 | 6.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S26 | Cody Pond | Lacustrine | Global | 41.151050000 | -100.753231000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S27 | Labonte Pond | Lacustrine | Global | 41.321346000 | -105.586769000 | 6.80 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S28 | Blanding | Lacustrine | Global | 41.797800000 | -75.677000000 | 7.20 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S29 | Brooklin | Lacustrine | Global | 41.372800000 | -106.249800000 | 7.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S30 | Crater | Lacustrine | Global | 41.490600000 | -106.247500000 | 6.99 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S31 | Crooked | Lacustrine | Global | 41.887239000 | -70.646000000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S32 | East Glaciar | Lacustrine | Global | 41.377300000 | -106.259400000 | 6.85 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S33 | Fire Box | Lacustrine | Global | 41.442400000 | -106.192500000 | 7.66 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S34 | Fishhook | Lacustrine | Global | 41.357500000 | -106.267500000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S35 | Highway 130 | Lacustrine | Global | 41.351300000 | -106.263800000 | 8.69 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S36 | Hourglass | Lacustrine | Global | 41.350000000 | -106.270900000 | 8.87 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S37 | Lewis | Lacustrine | Global | 41.359400000 | -106.295900000 | 6.29 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S38 | Libby | Lacustrine | Global | 41.354700000 | -106.298300000 | 6.44 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S39 | Libby Flats | Lacustrine | Global | 41.324801000 | -106.285826000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S40 | Libby Flats I | Lacustrine | Global | 41.331934000 | -106.294048000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S41 | Libby Flats ll | Lacustrine | Global | 41.319000000 | -106.280200000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S42 | Little | Lacustrine | Global | 41.353900000 | -106.277100000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S43 | Lost | Lacustrine | Global | 41.444700000 | -106.117700000 | 7.01 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S44 | Mirror | Lacustrine | Global | 41.338300000 | -106.319900000 | 6.29 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S45 | North Banner | Lacustrine | Global | 41.415100000 | -106.358000000 | 7.94 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S46 | Round | Lacustrine | Global | 41.359300000 | -106.269500000 | Martínez-Sosa et al. (2021) | World DB | |||
| Martinez_Sosa_2021_S47 | Silver | Lacustrine | Global | 41.309700000 | -106.356700000 | 6.48 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S48 | Silver Run | Lacustrine | Global | 41.326700000 | -106.236600000 | 9.68 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S49 | South Gap | Lacustrine | Global | 41.369300000 | -106.299300000 | 5.95 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S50 | Stamp Mill | Lacustrine | Global | 41.350300000 | -106.381100000 | 6.37 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_S51 | Twin | Lacustrine | Global | 44.061528000 | -72.578643000 | 6.50 | Martínez-Sosa et al. (2021) | World DB | ||
| Martinez_Sosa_2021_DS1 | Dead Sea | Lacustrine | Global | 31.508050000 | 35.471000000 | 6.00 | Martínez-Sosa et al. (2021) | World DB | ||
| Miller_2018 BP-2014-5D_001 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Ning_2019_3Seds | Ximenglongtan | Lacustrine | China | 22.640000000 | 99.600000000 | Ning et al. (2019) | World DB | |||
| DH_avg | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.50 | 2.48E002 | Qian et al. (2019) | World DB | |
| QPT-18-SS01B 0-0.5cm | QPT | Lacustrine | Baffin | 63.677690970 | -68.197748010 | 6.74 | Raberg et al. (2021) | World DB | ||
| BRO-18 SS01 0-1cm | BRO | Lacustrine | Baffin | 67.193005000 | -63.138194970 | 5.26 | Raberg et al. (2021) | World DB | ||
| CF8-17-4A-1U-01 0-2cm | CF8 | Lacustrine | Baffin | 70.558176010 | -68.949677980 | 5.38 | Raberg et al. (2021) | World DB | ||
| CF3-17-1A-1U-01 0-2cm | CF3 | Lacustrine | Baffin | 70.532736010 | -68.368504980 | 6.19 | Raberg et al. (2021) | World DB | ||
| 19SPT SS1 0-1cm | SPT | Lacustrine | Baffin | 70.561400030 | -68.962571020 | 5.53 | Raberg et al. (2021) | World DB | ||
| 19AFR-05 SS 0-2cm | AFR | Lacustrine | Baffin | 72.419470990 | -77.444688990 | 5.99 | Raberg et al. (2021) | World DB | ||
| BIR18-SS02A, 0-1cm | BIR | Lacustrine | Baffin | 66.800175960 | -63.970765970 | 3.83 | Raberg et al. (2021) | World DB | ||
| ARQ18-SS01, 0-2cm | ARQ | Lacustrine | Baffin | 66.841313000 | -63.827363010 | 5.45 | Raberg et al. (2021) | World DB | ||
| ATA19-SS1, 0-1cm | ATA | Lacustrine | Baffin | 70.563376980 | -68.971605040 | 5.15 | Raberg et al. (2021) | World DB | ||
| 3LN19-SS1, baste | 3LN | Lacustrine | Baffin | 58.100621960 | -68.464369980 | 6.83 | Raberg et al. (2021) | World DB | ||
| BAF2-LON10 1C-1N-01, 0-0.5cm | LON | Lacustrine | Baffin | 72.595930000 | -77.976430000 | Raberg et al. (2021) | World DB | |||
| MDL-01, 0-1cm | MDL | Lacustrine | Baffin | 64.308611000 | -69.860833000 | Raberg et al. (2021) | World DB | |||
| LDG-02, 0-1cm | LDG | Lacustrine | Baffin | 64.695649000 | -70.098817000 | Raberg et al. (2021) | World DB | |||
| BRT16-3A-1U-01, 0-1cm | BRT | Lacustrine | Baffin | 63.668826000 | -68.165685000 | Raberg et al. (2021) | World DB | |||
| KEK10-1A-1N-01, 0-0.5cm | KEK | Lacustrine | Baffin | 67.857222000 | -64.875278000 | 5.82 | Raberg et al. (2021) | World DB | ||
| SAL15-1C-1G-01, 0-0.5cm | SAL | Lacustrine | Baffin | 66.436493000 | -64.728315000 | Raberg et al. (2021) | World DB | |||
| KHL10-2B-1B-01, 0-0.5cm | KHL | Lacustrine | Baffin | 68.000317000 | -64.989134000 | 6.22 | Raberg et al. (2021) | World DB | ||
| SVI19-LSS | SVIN | Lacustrine | Iceland | 64.940012040 | -22.234059980 | 6.75 | Raberg et al. (2021) | World DB | ||
| SYS19-LSS (0-1cm) | SYS | Lacustrine | Iceland | 63.790350030 | -18.066421990 | 7.36 | Raberg et al. (2021) | World DB | ||
| SVID19, LSS1 (0-1cm) | SVID | Lacustrine | Iceland | 66.235630980 | -15.833124990 | 7.48 | Raberg et al. (2021) | World DB | ||
| HEID19, LSS (0-1cm) | HEID | Lacustrine | Iceland | 64.901557970 | -14.597537000 | 6.92 | Raberg et al. (2021) | World DB | ||
| LVID19, LSS1 (0-1cm) | LVID | Lacustrine | Iceland | 66.240195010 | -15.803596970 | 6.67 | Raberg et al. (2021) | World DB | ||
| TORFW-LSS, 0-1cm (9/21/19) | TORFW | Lacustrine | Iceland | 64.820730020 | -23.163093030 | 6.73 | Raberg et al. (2021) | World DB | ||
| HÖG19-LSS, 0-1cm (9/18/19) | HOG | Lacustrine | Iceland | 65.746660000 | -22.164495970 | 5.93 | Raberg et al. (2021) | World DB | ||
| BER19-LSS, 0-1cm (9/19/19) | BER | Lacustrine | Iceland | 65.551424020 | -22.108740970 | 6.64 | Raberg et al. (2021) | World DB | ||
| MARG19-LSS, 0-1cm (9/18/19) | MARG | Lacustrine | Iceland | 65.776619020 | -22.184977990 | 5.77 | Raberg et al. (2021) | World DB | ||
| LEI19-LSS (9/26/19) | LEI | Lacustrine | Iceland | 64.196116040 | -21.453632960 | 6.95 | Raberg et al. (2021) | World DB | ||
| SKJ19-LSS, 0-1cm (9/20/19) | SKJ | Lacustrine | Iceland | 65.046461040 | -22.791481020 | 6.89 | Raberg et al. (2021) | World DB | ||
| MAS19-LSS, 0-1cm (9/11/19) | MAS | Lacustrine | Iceland | 65.640471010 | -17.248498020 | 7.54 | Raberg et al. (2021) | World DB | ||
| MIDW-LSS, 0-1cm (9/22/19) | MIDW | Lacustrine | Iceland | 65.552799990 | -21.792637030 | 6.27 | Raberg et al. (2021) | World DB | ||
| SAU19-LSS2B, 0-1cm (9/20/19 | SAU | Lacustrine | Iceland | 65.014036990 | -22.718691980 | 6.70 | Raberg et al. (2021) | World DB | ||
| MIDE19-LSS, 0-1cm (9/_/19) | MIDE | Lacustrine | Iceland | 65.553824010 | -21.780505980 | 6.36 | Raberg et al. (2021) | World DB | ||
| VGHV19-LSS, 0-1cm (9/26/19) | VGHV | Lacustrine | Iceland | 63.943276010 | -20.524078980 | 7.11 | Raberg et al. (2021) | World DB | ||
| BAE_SS | BAE | Lacustrine | Iceland | 65.720739000 | -21.433158000 | 7.40 | Raberg et al. (2021) | World DB | ||
| HAK_SS | HAK | Lacustrine | Iceland | 65.051067000 | -21.630500000 | 7.70 | Raberg et al. (2021) | World DB | ||
| TORF_SS | TORF | Lacustrine | Iceland | 66.060513000 | -20.382867000 | 6.96 | Raberg et al. (2021) | World DB | ||
| SVG_SS | SVG | Lacustrine | Iceland | 65.907078000 | -21.821496000 | Raberg et al. (2021) | World DB | |||
| HVL_SS | HVL | Lacustrine | Iceland | 66.060655000 | -21.867265000 | Raberg et al. (2021) | World DB | |||
| TRK_SS | TRK | Lacustrine | Iceland | 66.144538000 | -22.062062000 | Raberg et al. (2021) | World DB | |||
| SKF_SS | SKF | Lacustrine | Iceland | 65.892589000 | -22.116623000 | Raberg et al. (2021) | World DB | |||
| GDD_SS | GDD | Lacustrine | Iceland | 65.715931000 | -22.191214000 | 5.58 | Raberg et al. (2021) | World DB | ||
| GRP_SS | GRP | Lacustrine | Iceland | 65.207031000 | -15.445439000 | 7.42 | Raberg et al. (2021) | World DB | ||
| SKR_SS | SKR | Lacustrine | Iceland | 66.255723000 | -22.325319000 | 7.20 | Raberg et al. (2021) | World DB | ||
| Russell_1 | Albert | Lacustrine | Africa | 1.683000000 | 30.917000000 | 9.00 | 5.39E002 | Russell et al. (2018) | World DB | |
| Russell_2 | Alice | Lacustrine | Africa | -0.076000000 | 37.465000000 | 7.40 | 1.75E001 | Russell et al. (2018) | World DB | |
| Russell_3 | Bandasa | Lacustrine | Africa | -0.157000000 | 37.449000000 | 8.10 | 1.47E001 | Russell et al. (2018) | World DB | |
| Russell_4 | Batoda | Lacustrine | Africa | 0.300000000 | 29.883000000 | 5.35 | 9.10E000 | Russell et al. (2018) | World DB | |
| Russell_5 | Bigata | Lacustrine | Africa | 0.307000000 | 29.883000000 | 5.80 | 5.60E000 | Russell et al. (2018) | World DB | |
| Russell_6 | Bugwagi | Lacustrine | Africa | -0.200000000 | 30.183000000 | 8.00 | 3.07E002 | Russell et al. (2018) | World DB | |
| Russell_7 | Bukurungu East | Lacustrine | Africa | 0.400000000 | 29.900000000 | 4.05 | 9.10E000 | Russell et al. (2018) | World DB | |
| Russell_8 | Chibwera | Lacustrine | Africa | -0.150000000 | 30.150000000 | 8.40 | 3.30E002 | Russell et al. (2018) | World DB | |
| Russell_9 | Edward | Lacustrine | Africa | -0.246000000 | 29.750000000 | 8.50 | 5.88E002 | Russell et al. (2018) | World DB | |
| Russell_10 | Eldoret Nakuru 2 | Lacustrine | Africa | 0.361000000 | 35.351000000 | 6.90 | 1.20E002 | Russell et al. (2018) | World DB | |
| Russell_11 | Enchanted | Lacustrine | Africa | -0.172000000 | 37.336000000 | 7.10 | 2.24E001 | Russell et al. (2018) | World DB | |
| Russell_12 | Gallery Tarn | Lacustrine | Africa | -0.164000000 | 37.325000000 | 7.00 | 9.10E000 | Russell et al. (2018) | World DB | |
| Russell_13 | Hanging Tarn | Lacustrine | Africa | -0.156000000 | 37.333000000 | 7.95 | 1.33E001 | Russell et al. (2018) | World DB | |
| Russell_14 | Harris Tarn | Lacustrine | Africa | -0.151000000 | 37.319000000 | 8.05 | 1.82E001 | Russell et al. (2018) | World DB | |
| Russell_15 | Hausburg Tarn | Lacustrine | Africa | -0.145000000 | 37.301000000 | 7.70 | 1.68E001 | Russell et al. (2018) | World DB | |
| Russell_16 | Hut Tarn | Lacustrine | Africa | -0.157000000 | 37.299000000 | 7.05 | 1.40E001 | Russell et al. (2018) | World DB | |
| Russell_17 | Ibamba | Lacustrine | Africa | -0.200000000 | 30.200000000 | 6.60 | 7.28E001 | Russell et al. (2018) | World DB | |
| Russell_18 | Irene | Lacustrine | Africa | 0.383000000 | 29.883000000 | 5.75 | 4.90E000 | Russell et al. (2018) | World DB | |
| Russell_19 | Kacuba | Lacustrine | Africa | -0.333000000 | 30.017000000 | 8.10 | 1.28E002 | Russell et al. (2018) | World DB | |
| Russell_20 | Kako | Lacustrine | Africa | -0.300000000 | 30.100000000 | 7.45 | 6.23E001 | Russell et al. (2018) | World DB | |
| Russell_21 | Kamweru | Lacustrine | Africa | -0.250000000 | 30.117000000 | 7.65 | 1.11E002 | Russell et al. (2018) | World DB | |
| Russell_22 | Kanyabutetere | Lacustrine | Africa | 0.417000000 | 30.283000000 | 8.20 | 2.81E002 | Russell et al. (2018) | World DB | |
| Russell_23 | Kanyanchu | Lacustrine | Africa | 0.433000000 | 30.317000000 | 8.05 | 4.44E002 | Russell et al. (2018) | World DB | |
| Russell_24 | Kasirya | Lacustrine | Africa | -0.250000000 | 30.133000000 | 7.65 | 2.11E002 | Russell et al. (2018) | World DB | |
| Russell_25 | Katanda | Lacustrine | Africa | 0.483000000 | 30.267000000 | 7.75 | 2.98E002 | Russell et al. (2018) | World DB | |
| Russell_26 | Katunda | Lacustrine | Africa | 0.280000000 | 29.895000000 | 5.25 | 9.80E000 | Russell et al. (2018) | World DB | |
| Russell_27 | Kifuruka | Lacustrine | Africa | 0.483000000 | 30.283000000 | 7.60 | 2.51E002 | Russell et al. (2018) | World DB | |
| Russell_28 | Kisibendi | Lacustrine | Africa | 0.383000000 | 30.300000000 | 7.75 | 1.94E002 | Russell et al. (2018) | World DB | |
| Russell_29 | Kitere | Lacustrine | Africa | 0.400000000 | 30.250000000 | 8.05 | 4.98E002 | Russell et al. (2018) | World DB | |
| Russell_30 | Kopello | Lacustrine | Africa | 0.310000000 | 29.892000000 | 5.20 | 6.30E000 | Russell et al. (2018) | World DB | |
| Russell_31 | Kyasunduka | Lacustrine | Africa | -0.283000000 | 30.042000000 | 8.80 | 1.82E002 | Russell et al. (2018) | World DB | |
| Russell_32 | Kyerbwato | Lacustrine | Africa | 0.433000000 | 30.317000000 | 8.25 | 3.25E002 | Russell et al. (2018) | World DB | |
| Russell_33 | Kyogo | Lacustrine | Africa | -0.333000000 | 30.017000000 | 6.85 | 3.92E001 | Russell et al. (2018) | World DB | |
| Russell_34 | Ellis | Lacustrine | Africa | -0.124000000 | 37.401000000 | 7.35 | Russell et al. (2018) | World DB | ||
| Russell_35 | Large Hall Tarn | Lacustrine | Africa | -0.143000000 | 37.346000000 | 7.05 | 7.00E000 | Russell et al. (2018) | World DB | |
| Russell_36 | Lewis Tarn | Lacustrine | Africa | -0.162000000 | 37.311000000 | 6.35 | 1.61E001 | Russell et al. (2018) | World DB | |
| Russell_37 | Lower Simba | Lacustrine | Africa | -0.145000000 | 37.319000000 | 7.65 | 2.31E001 | Russell et al. (2018) | World DB | |
| Russell_38 | Mahoma | Lacustrine | Africa | 0.346000000 | 29.968000000 | 5.75 | 9.10E000 | Russell et al. (2018) | World DB | |
| Russell_39 | Mahuhura | Lacustrine | Africa | 0.433000000 | 30.267000000 | 8.50 | 4.22E002 | Russell et al. (2018) | World DB | |
| Russell_40 | Mbajo | Lacustrine | Africa | 0.450000000 | 30.267000000 | 7.75 | 3.53E002 | Russell et al. (2018) | World DB | |
| Russell_41 | Mbugo | Lacustrine | Africa | -0.167000000 | 30.150000000 | 9.55 | 1.50E002 | Russell et al. (2018) | World DB | |
| Russell_42 | Middle Kachope | Lacustrine | Africa | 0.333000000 | 29.867000000 | 6.75 | 1.75E001 | Russell et al. (2018) | World DB | |
| Russell_43 | Mirambi | Lacustrine | Africa | -0.217000000 | 30.100000000 | 8.65 | 4.38E002 | Russell et al. (2018) | World DB | |
| Russell_44 | Murabio | Lacustrine | Africa | -0.350000000 | 30.033000000 | 7.60 | 5.03E002 | Russell et al. (2018) | World DB | |
| Russell_45 | Murusi | Lacustrine | Africa | 0.433000000 | 30.283000000 | 7.55 | 2.62E002 | Russell et al. (2018) | World DB | |
| Russell_46 | Mwengenyi | Lacustrine | Africa | 0.483000000 | 30.267000000 | 7.75 | 2.49E002 | Russell et al. (2018) | World DB | |
| Russell_47 | Nanyuki Tarn | Lacustrine | Africa | -0.155000000 | 37.297000000 | 6.70 | 9.80E000 | Russell et al. (2018) | World DB | |
| Russell_48 | Njarayabana | Lacustrine | Africa | 0.433000000 | 30.250000000 | 8.30 | 6.03E002 | Russell et al. (2018) | World DB | |
| Russell_49 | Nkugute | Lacustrine | Africa | -0.317000000 | 30.100000000 | 7.25 | 7.21E001 | Russell et al. (2018) | World DB | |
| Russell_50 | Nkuruba | Lacustrine | Africa | 0.517000000 | 30.300000000 | 7.50 | 2.46E002 | Russell et al. (2018) | World DB | |
| Russell_51 | Nyamswiga | Lacustrine | Africa | 0.517000000 | 30.283000000 | 7.80 | 2.24E002 | Russell et al. (2018) | World DB | |
| Russell_52 | Nyamugosani | Lacustrine | Africa | 0.417000000 | 30.233000000 | 8.65 | 6.87E002 | Russell et al. (2018) | World DB | |
| Russell_53 | Nyamusingere | Lacustrine | Africa | -0.283000000 | 30.033000000 | 9.15 | 5.24E002 | Russell et al. (2018) | World DB | |
| Russell_54 | Nyantonde | Lacustrine | Africa | 0.483000000 | 30.283000000 | 7.85 | 3.07E002 | Russell et al. (2018) | World DB | |
| Russell_55 | Oblong Tarn | Lacustrine | Africa | -0.144000000 | 37.301000000 | 6.75 | 1.75E001 | Russell et al. (2018) | World DB | |
| Russell_56 | Ruhandika | Lacustrine | Africa | 0.383000000 | 29.883000000 | 6.05 | 3.50E000 | Russell et al. (2018) | World DB | |
| Russell_57 | Rutundu | Lacustrine | Africa | -0.042000000 | 37.464000000 | 7.60 | 2.38E001 | Russell et al. (2018) | World DB | |
| Russell_58 | Small Hall Tarn | Lacustrine | Africa | -0.144000000 | 37.345000000 | 7.30 | 7.70E000 | Russell et al. (2018) | World DB | |
| Russell_59 | Square Tarn | Lacustrine | Africa | -0.154000000 | 37.323000000 | 5.60 | 1.26E001 | Russell et al. (2018) | World DB | |
| Russell_60 | Tanganyika | Lacustrine | Africa | -4.872000000 | 29.617000000 | 8.95 | 4.76E002 | Russell et al. (2018) | World DB | |
| Russell_61 | Teleki Tarn | Lacustrine | Africa | -0.169000000 | 37.306000000 | 6.70 | 1.26E001 | Russell et al. (2018) | World DB | |
| Russell_62 | Thompson | Lacustrine | Africa | -0.168000000 | 37.320000000 | 7.20 | Russell et al. (2018) | World DB | ||
| Russell_63 | Veggie Tarn | Lacustrine | Africa | -0.144000000 | 37.344000000 | 7.25 | Russell et al. (2018) | World DB | ||
| Russell_64 | Wandakara | Lacustrine | Africa | 0.417000000 | 30.267000000 | 8.35 | 8.58E002 | Russell et al. (2018) | World DB | |
| Russell_65 | Wankenzi | Lacustrine | Africa | 0.425000000 | 30.267000000 | 7.65 | 2.76E002 | Russell et al. (2018) | World DB | |
| Weber_2018_148 | AZ | Lacustrine | Switzerland | 46.266037000 | 8.585285000 | Weber et al. (2018) | World DB | |||
| Weber_2018_149 | BA | Lacustrine | Switzerland | 47.205327000 | 8.256456000 | 7.89 | Weber et al. (2018) | World DB | ||
| Weber_2018_150 | CD | Lacustrine | Switzerland | 46.549713000 | 8.712020000 | 7.57 | Weber et al. (2018) | World DB | ||
| Weber_2018_151 | CM | Lacustrine | Switzerland | 46.254877000 | 9.227139000 | Weber et al. (2018) | World DB | |||
| Weber_2018_152 | CN | Lacustrine | Switzerland | 46.746295000 | 9.450728000 | Weber et al. (2018) | World DB | |||
| Weber_2018_153 | DS | Lacustrine | Switzerland | 46.449348000 | 9.204876000 | Weber et al. (2018) | World DB | |||
| Weber_2018_154 | ED | Lacustrine | Switzerland | 45.779419000 | 9.939758000 | Weber et al. (2018) | World DB | |||
| Weber_2018_155 | EN | Lacustrine | Switzerland | 46.773542000 | 8.356671000 | 8.23 | Weber et al. (2018) | World DB | ||
| Weber_2018_156 | FA | Lacustrine | Switzerland | 47.251105000 | 9.416863000 | Weber et al. (2018) | World DB | |||
| Weber_2018_157 | GA | Lacustrine | Switzerland | 45.818836000 | 9.411061000 | Weber et al. (2018) | World DB | |||
| Weber_2018_158 | GE | Lacustrine | Switzerland | 46.830408000 | 7.547104000 | 7.75 | Weber et al. (2018) | World DB | ||
| Weber_2018_159 | GF | Lacustrine | Switzerland | 47.352473000 | 8.677384000 | 7.90 | Weber et al. (2018) | World DB | ||
| Weber_2018_160 | GH | Lacustrine | Switzerland | 45.916122000 | 8.822347000 | Weber et al. (2018) | World DB | |||
| Weber_2018_161 | GL | Lacustrine | Switzerland | 46.919695000 | 8.904035000 | Weber et al. (2018) | World DB | |||
| Weber_2018_162 | GS | Lacustrine | Switzerland | 46.566214000 | 8.303744000 | Weber et al. (2018) | World DB | |||
| Weber_2018_163 | HB | Lacustrine | Switzerland | 46.718051000 | 8.067521000 | 7.72 | Weber et al. (2018) | World DB | ||
| Weber_2018_164 | HS | Lacustrine | Switzerland | 47.187152000 | 9.331283000 | Weber et al. (2018) | World DB | |||
| Weber_2018_165 | IF | Lacustrine | Switzerland | 46.386484000 | 7.406019000 | 8.01 | Weber et al. (2018) | World DB | ||
| Weber_2018_166 | KT | Lacustrine | Switzerland | 47.025429000 | 8.977974000 | 7.92 | Weber et al. (2018) | World DB | ||
| Weber_2018_167 | LD | Lacustrine | Switzerland | 45.876776000 | 10.751888000 | Weber et al. (2018) | World DB | |||
| Weber_2018_168 | LN | Lacustrine | Switzerland | 46.800595000 | 8.161189000 | 8.23 | Weber et al. (2018) | World DB | ||
| Weber_2018_169 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 8.02 | Weber et al. (2018) | World DB | ||
| Weber_2018_170 | LZ | Lacustrine | Switzerland | 47.033038000 | 8.602432000 | 7.85 | Weber et al. (2018) | World DB | ||
| Weber_2018_171 | MG | Lacustrine | Switzerland | 46.430410000 | 8.688574000 | Weber et al. (2018) | World DB | |||
| Weber_2018_172 | NB | Lacustrine | Switzerland | 46.895911000 | 6.847815000 | 8.19 | Weber et al. (2018) | World DB | ||
| Weber_2018_173 | OE | Lacustrine | Switzerland | 46.498340000 | 7.726384000 | Weber et al. (2018) | World DB | |||
| Weber_2018_174 | PS | Lacustrine | Switzerland | 46.282028000 | 10.090721000 | Weber et al. (2018) | World DB | |||
| Weber_2018_175 | RI | Lacustrine | Switzerland | 46.540152000 | 8.688955000 | Weber et al. (2018) | World DB | |||
| Weber_2018_176 | RO | Lacustrine | Switzerland | 47.070253000 | 8.314694000 | 7.89 | Weber et al. (2018) | World DB | ||
| Weber_2018_177 | SI | Lacustrine | Switzerland | 46.419982000 | 9.732666000 | 7.17 | Weber et al. (2018) | World DB | ||
| Weber_2018_178 | SO | Lacustrine | Switzerland | 47.090201000 | 8.080952000 | 7.76 | Weber et al. (2018) | World DB | ||
| Weber_2018_179 | SV | Lacustrine | Switzerland | 46.449079000 | 9.793859000 | Weber et al. (2018) | World DB | |||
| Weber_2018_180 | TH | Lacustrine | Switzerland | 46.690717000 | 7.722552000 | 8.03 | Weber et al. (2018) | World DB | ||
| Weber_2018_181 | TR | Lacustrine | Switzerland | 46.794032000 | 8.390088000 | 8.75 | Weber et al. (2018) | World DB | ||
| Weber_2018_182 | VW | Lacustrine | Switzerland | 47.013806000 | 8.432887000 | 7.96 | Weber et al. (2018) | World DB | ||
| Weber_2018_183 | ZH | Lacustrine | Switzerland | 47.226293000 | 8.737830000 | 7.86 | Weber et al. (2018) | World DB | ||
| Miller_2018 June_SPM_001 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 July_SPM_001 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 September_SPM_001 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 January_SPM_001 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 June_SPM_002 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 July_SPM_002 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 September_SPM_002 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 January_SPM_002 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 June_SPM_003 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 July_SPM_003 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 September_SPM_003 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 January_SPM_003 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 June_SPM_004 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 July_SPM_004 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 September_SPM_004 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 January_SPM_004 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| 40422 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40452 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40483 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40513 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40544 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40575 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40603 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40634 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40664 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40695 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40725 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40756 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40787 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40817 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40848 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40878 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40909 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40940 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 40969 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41000 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41030 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41061 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41091 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41122 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41153 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41183 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41214 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41244 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41275 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41306 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41334 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41365 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41395 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41426 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41456 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41487 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41518 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41548 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41579 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41609 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41640 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41671 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41699 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41730 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41760 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41791 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41821 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 42005 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| Weber_2018_85 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_86 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_88 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_89 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_91 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_92 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_94 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_95 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_97 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_98 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_100 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_101 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_103 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_104 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_106 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_107 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_109 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_110 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_112 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_113 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_115 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_116 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_118 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_119 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_121 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_122 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_124 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_125 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_127 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_128 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_130 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_131 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_133 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_134 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_136 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_137 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_139 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_140 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_142 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_143 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_145 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_146 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Zhao_2021_5m_2016-2017 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_10m_2016-2017 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_14m_2016-2017 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_5m_2017-2018 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_10m_2017-2018 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_14m_2017-2018 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_5m_2018-2019 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_10m_2018-2019 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Zhao_2021_14m_2018-2019 | Lake 578 | Lacustrine | Greenland | 61.079565020 | -45.611726970 | Zhao et al. (2021) | World DB | |||
| Cao_2020 Water-1 m Sept | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 9.290 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-3 m Sept | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 9.070 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-6 m Sept | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 6.890 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-1 m Jan | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 7.480 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-3 m Jan | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 7.690 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-6 m Jan | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 7.250 | 6.74E002 | Cao et al. (2020) | World DB | |
| Cao_2020 Water-8 m Jan | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 6.840 | 6.74E002 | Cao et al. (2020) | World DB | |
| De_Jonge_2015_Baikal Baikal_Y1 | Baikal | Lacustrine | Russia, Baikal | 58.009900000 | 93.116800000 | De Jonge et al. (2015a)/Khodzher et al. (2017) | World DB | |||
| De_Jonge_2015_Baikal Baikal_Y2 | Baikal | Lacustrine | Russia, Baikal | 58.131500000 | 92.754100000 | De Jonge et al. (2015a)/Khodzher et al. (2017) | World DB | |||
| DH-S-6 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.31 | 10.680 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-7 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 7.90 | 8.300 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-9 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.19 | 9.370 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-10 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.02 | 10.710 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-11 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 7.39 | 6.890 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-12 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.46 | 8.470 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-1 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.55 | 9.800 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-2 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 9.13 | 12.240 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-3 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 8.74 | 10.940 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-4 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 10.22 | 13.580 | 2.48E002 | Qian et al. (2019) | World DB |
| DH-S-5 CL | Donghu | Lacustrine | China | 30.910000000 | 114.070000000 | 9.07 | 9.960 | 2.48E002 | Qian et al. (2019) | World DB |
| A-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.74 | 9.500 | van Bree et al. (2020) | World DB | |
| A-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.33 | 5.020 | van Bree et al. (2020) | World DB | |
| B-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.86 | 7.590 | van Bree et al. (2020) | World DB | |
| B-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.45 | 5.600 | van Bree et al. (2020) | World DB | |
| C-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.97 | 7.240 | van Bree et al. (2020) | World DB | |
| C-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.85 | 7.240 | van Bree et al. (2020) | World DB | |
| D-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.99 | 7.350 | van Bree et al. (2020) | World DB | |
| D-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.97 | 6.950 | van Bree et al. (2020) | World DB | |
| E-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.91 | 6.380 | van Bree et al. (2020) | World DB | |
| E-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.88 | 6.040 | van Bree et al. (2020) | World DB | |
| F-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.84 | 6.630 | van Bree et al. (2020) | World DB | |
| F-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.88 | 6.360 | van Bree et al. (2020) | World DB | |
| G-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.93 | 6.170 | van Bree et al. (2020) | World DB | |
| G-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.94 | 6.220 | van Bree et al. (2020) | World DB | |
| H-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.96 | 6.390 | van Bree et al. (2020) | World DB | |
| H-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.97 | 6.250 | van Bree et al. (2020) | World DB | |
| I-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.95 | van Bree et al. (2020) | World DB | ||
| I-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.95 | van Bree et al. (2020) | World DB | ||
| J-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.77 | van Bree et al. (2020) | World DB | ||
| J-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.74 | van Bree et al. (2020) | World DB | ||
| J-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.52 | 3.515 | van Bree et al. (2020) | World DB | |
| K-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.77 | van Bree et al. (2020) | World DB | ||
| K-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.72 | van Bree et al. (2020) | World DB | ||
| K-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.66 | van Bree et al. (2020) | World DB | ||
| L-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.88 | 7.140 | van Bree et al. (2020) | World DB | |
| L-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.84 | 6.690 | van Bree et al. (2020) | World DB | |
| L-20 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.84 | 6.640 | van Bree et al. (2020) | World DB | |
| L-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.82 | 6.470 | van Bree et al. (2020) | World DB | |
| L-30 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.81 | 6.360 | van Bree et al. (2020) | World DB | |
| L-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.76 | 5.915 | van Bree et al. (2020) | World DB | |
| M-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.96 | 8.940 | van Bree et al. (2020) | World DB | |
| M-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.95 | 8.710 | van Bree et al. (2020) | World DB | |
| M-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.57 | 5.640 | van Bree et al. (2020) | World DB | |
| M-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.45 | 4.760 | van Bree et al. (2020) | World DB | |
| N-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.78 | 7.080 | van Bree et al. (2020) | World DB | |
| N-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.73 | 7.050 | van Bree et al. (2020) | World DB | |
| N-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.36 | 4.100 | van Bree et al. (2020) | World DB | |
| N-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.22 | 3.250 | van Bree et al. (2020) | World DB | |
| O-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 6.820 | van Bree et al. (2020) | World DB | ||
| O-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 6.810 | van Bree et al. (2020) | World DB | ||
| O-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 3.335 | van Bree et al. (2020) | World DB | ||
| O-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 1.800 | van Bree et al. (2020) | World DB | ||
| P-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 9.01 | 8.940 | van Bree et al. (2020) | World DB | |
| P-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.99 | 8.750 | van Bree et al. (2020) | World DB | |
| P-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.33 | 3.420 | van Bree et al. (2020) | World DB | |
| Q-0 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 9.01 | 5.660 | van Bree et al. (2020) | World DB | |
| Q-10 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 9.03 | 5.130 | van Bree et al. (2020) | World DB | |
| Q-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 8.23 | 1.925 | van Bree et al. (2020) | World DB | |
| Weber_2018_1 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 7.230 | Weber et al. (2018) | World DB | ||
| Weber_2018_7 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 6.830 | Weber et al. (2018) | World DB | ||
| Weber_2018_13 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 6.130 | Weber et al. (2018) | World DB | ||
| Weber_2018_19 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 4.810 | Weber et al. (2018) | World DB | ||
| Weber_2018_25 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 3.920 | Weber et al. (2018) | World DB | ||
| Weber_2018_31 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 2.980 | Weber et al. (2018) | World DB | ||
| Weber_2018_37 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 1.680 | Weber et al. (2018) | World DB | ||
| Wu_2021 YZ-12TGF1 | Yangzong | Lacustrine | China | 24.912083000 | 103.003333000 | 9.32 | 10.965 | Wu et al. (2021) | World DB | |
| Yao_2020_1 | Wudalianchi Pool 3 | Lacustrine | China | 48.733333330 | 126.216666700 | 8.63 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_2 | Wudalianchi Pool 3 | Lacustrine | China | 48.733333330 | 126.216666700 | 8.55 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_3 | Wudalianchi Pool 3 | Lacustrine | China | 48.733333330 | 126.216666700 | 8.50 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_4 | Sanjiaolongwan | Lacustrine | China | 42.366666670 | 126.433333300 | 8.05 | 9.500 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_5 | Sanjiaolongwan | Lacustrine | China | 42.366666670 | 126.433333300 | 7.68 | 12.000 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_6 | Sanjiaolongwan | Lacustrine | China | 42.366666670 | 126.433333300 | 7.43 | 13.000 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_7 | Sanjiaolongwan | Lacustrine | China | 42.366666670 | 126.433333300 | 7.87 | 3.000 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_9 | Dalongwan | Lacustrine | China | 42.333333330 | 126.383333300 | 8.57 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_10 | Dalongwan | Lacustrine | China | 42.333333330 | 126.383333300 | 8.65 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_11 | Dalongwan | Lacustrine | China | 42.333333330 | 126.383333300 | 7.52 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_13 | Donglongwan | Lacustrine | China | 42.416666670 | 126.516666700 | 8.90 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_14 | Donglongwan | Lacustrine | China | 42.416666670 | 126.516666700 | 8.89 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_15 | Donglongwan | Lacustrine | China | 42.416666670 | 126.516666700 | 8.77 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_16 | Donglongwan | Lacustrine | China | 42.416666670 | 126.516666700 | 8.70 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_18 | Erlongwan | Lacustrine | China | 42.300000000 | 126.383333300 | 8.71 | 8.500 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_19 | Erlongwan | Lacustrine | China | 42.300000000 | 126.383333300 | 8.32 | 9.500 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_20 | Erlongwan | Lacustrine | China | 42.300000000 | 126.383333300 | 7.73 | 10.500 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_21 | Erlongwan | Lacustrine | China | 42.300000000 | 126.383333300 | 8.04 | 4.000 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_22 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 10.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_23 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 13.300 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_24 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 13.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_25 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 13.200 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_26 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_27 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_28 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_29 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.800 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_30 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.900 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_31 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | 12.900 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_32 | Lake Superior | Lacustrine | USA | 47.316666670 | -88.133333330 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |||
| Miller_2018 July_SPM_005 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 September_SPM_005 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| Miller_2018 January_SPM_005 | Basin Pond | Lacustrine | USA | 44.280000000 | -70.050000000 | Miller et al. (2018)/lakesofmaine.org | World DB | |||
| 41852 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41883 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41913 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41944 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| 41974 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | van Bree et al. (2020) | World DB | |||
| Weber_2018_87 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_90 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_93 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_96 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_99 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_102 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_105 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_108 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_111 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_114 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_117 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_120 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_123 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_126 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_129 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_132 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_135 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_138 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_141 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_144 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Weber_2018_147 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | Weber et al. (2018) | World DB | |||
| Cao_2020 Water-8 m Sept | Gonghai | Lacustrine | China | 38.900000000 | 112.230000000 | 0.980 | 6.74E002 | Cao et al. (2020) | World DB | |
| A-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.66 | 0.000 | van Bree et al. (2020) | World DB | |
| A-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.62 | 0.000 | van Bree et al. (2020) | World DB | |
| A-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.60 | 0.000 | van Bree et al. (2020) | World DB | |
| A-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| B-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.71 | 0.000 | van Bree et al. (2020) | World DB | |
| B-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.69 | 0.000 | van Bree et al. (2020) | World DB | |
| B-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.66 | 0.000 | van Bree et al. (2020) | World DB | |
| B-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| B-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| B-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| C-20 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.87 | 0.000 | van Bree et al. (2020) | World DB | |
| C-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.88 | 0.000 | van Bree et al. (2020) | World DB | |
| C-30 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.88 | 0.000 | van Bree et al. (2020) | World DB | |
| C-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.86 | 0.000 | van Bree et al. (2020) | World DB | |
| C-40 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.86 | 0.000 | van Bree et al. (2020) | World DB | |
| C-45 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.84 | 0.000 | van Bree et al. (2020) | World DB | |
| C-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.83 | 0.000 | van Bree et al. (2020) | World DB | |
| C-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| C-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| C-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| C-90 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| D-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.88 | 0.000 | van Bree et al. (2020) | World DB | |
| D-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.85 | 0.000 | van Bree et al. (2020) | World DB | |
| D-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.81 | 0.000 | van Bree et al. (2020) | World DB | |
| D-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| D-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| D-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| E-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.82 | 0.000 | van Bree et al. (2020) | World DB | |
| E-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.79 | 0.000 | van Bree et al. (2020) | World DB | |
| E-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.75 | 0.000 | van Bree et al. (2020) | World DB | |
| E-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| E-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| E-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| F-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.76 | 0.000 | van Bree et al. (2020) | World DB | |
| F-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.70 | 0.000 | van Bree et al. (2020) | World DB | |
| F-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.65 | 0.000 | van Bree et al. (2020) | World DB | |
| F-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| F-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| G-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.81 | 0.000 | van Bree et al. (2020) | World DB | |
| G-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.72 | 0.000 | van Bree et al. (2020) | World DB | |
| G-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.68 | 0.000 | van Bree et al. (2020) | World DB | |
| G-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| G-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| G-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| H-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.82 | 0.000 | van Bree et al. (2020) | World DB | |
| H-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.72 | 0.000 | van Bree et al. (2020) | World DB | |
| H-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.68 | 0.000 | van Bree et al. (2020) | World DB | |
| H-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| H-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| H-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| I-25 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.96 | 0.775 | van Bree et al. (2020) | World DB | |
| I-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.70 | 0.000 | van Bree et al. (2020) | World DB | |
| I-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.65 | 0.000 | van Bree et al. (2020) | World DB | |
| I-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| I-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| I-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| J-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.64 | 0.000 | van Bree et al. (2020) | World DB | |
| J-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.61 | 0.000 | van Bree et al. (2020) | World DB | |
| J-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| J-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| J-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| K-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.70 | 0.000 | van Bree et al. (2020) | World DB | |
| K-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.61 | 0.000 | van Bree et al. (2020) | World DB | |
| K-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| K-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| K-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| L-40 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.85 | 0.000 | van Bree et al. (2020) | World DB | |
| L-45 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.82 | 0.000 | van Bree et al. (2020) | World DB | |
| L-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.78 | 0.000 | van Bree et al. (2020) | World DB | |
| L-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| L-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| L-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| L-90 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| M-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.58 | 0.000 | van Bree et al. (2020) | World DB | |
| M-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| M-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| M-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| N-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.50 | 0.000 | van Bree et al. (2020) | World DB | |
| N-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| N-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| N-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| O-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| O-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| O-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| O-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| P-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.87 | 0.115 | van Bree et al. (2020) | World DB | |
| P-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.63 | 0.000 | van Bree et al. (2020) | World DB | |
| P-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| P-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| P-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| Q-35 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.90 | 0.000 | van Bree et al. (2020) | World DB | |
| Q-50 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 7.60 | 0.000 | van Bree et al. (2020) | World DB | |
| Q-60 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| Q-70 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| Q-80 | Chala | Lacustrine | Africa | -3.316000000 | 37.700000000 | 0.000 | van Bree et al. (2020) | World DB | ||
| Weber_2018_43 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.320 | Weber et al. (2018) | World DB | ||
| Weber_2018_49 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.280 | Weber et al. (2018) | World DB | ||
| Weber_2018_55 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.280 | Weber et al. (2018) | World DB | ||
| Weber_2018_61 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.280 | Weber et al. (2018) | World DB | ||
| Weber_2018_67 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.280 | Weber et al. (2018) | World DB | ||
| Weber_2018_73 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.290 | Weber et al. (2018) | World DB | ||
| Weber_2018_79 | LU | Lacustrine | Switzerland | 45.988105000 | 8.972759000 | 0.290 | Weber et al. (2018) | World DB | ||
| Wu_2021 YZ-13TGF1 | Yangzong | Lacustrine | China | 24.912083000 | 103.003333000 | 8.83 | 0.505 | Wu et al. (2021) | World DB | |
| Wu_2021 YZ-14TGF1 | Yangzong | Lacustrine | China | 24.912083000 | 103.003333000 | 8.70 | 0.410 | Wu et al. (2021) | World DB | |
| Wu_2021 YZ-15TGF1 | Yangzong | Lacustrine | China | 24.912083000 | 103.003333000 | 8.62 | 0.390 | Wu et al. (2021) | World DB | |
| Yao_2020_8 | Sanjiaolongwan | Lacustrine | China | 42.366666670 | 126.433333300 | 7.64 | 0.000 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | |
| Yao_2020_12 | Dalongwan | Lacustrine | China | 42.333333330 | 126.383333300 | 7.87 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Yao_2020_17 | Donglongwan | Lacustrine | China | 42.416666670 | 126.516666700 | 8.84 | Yao et al. (2019)/Yao et al. (2020)/Woltering et al. (2012) | World DB | ||
| Ding_2018 H32 core | H32 | Groundwater | Germany | 51.114000000 | 10.431000000 | 7.30 | Ding et al. (2018) | World DB | ||
| Ding_2018 H41 core | H41 | Groundwater | Germany | 51.115000000 | 10.448000000 | 7.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 H42 core | H42 | Groundwater | Germany | 51.115000000 | 10.448000000 | 7.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 H43 core | H43 | Groundwater | Germany | 51.115000000 | 10.448000000 | 7.20 | Ding et al. (2018) | World DB | ||
| Ding_2018 H51 core | H51 | Groundwater | Germany | 51.119000000 | 10.469000000 | 7.10 | Ding et al. (2018) | World DB | ||
| Ding_2018 H52 core | H52 | Groundwater | Germany | 51.119000000 | 10.469000000 | 7.30 | Ding et al. (2018) | World DB | ||
| Ding_2018 H53 core | H53 | Groundwater | Germany | 51.119000000 | 10.469000000 | 7.30 | Ding et al. (2018) | World DB | ||
| Dillon_2018 AK-09-02 | AK-09-02 | Bone | West Alaska | 67.451000000 | -163.549000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 TRC-01-01 | TRC-01-01 | Bone | East Coast, U.S. | 35.182000000 | -83.382000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 TRC-01-02 | TRC-01-02 | Bone | East Coast, U.S. | 35.182000000 | -83.382000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 TRC-01-03 | TRC-01-03 | Bone | East Coast, U.S. | 35.182000000 | -83.382000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 TRW-03-01 | TRW-03-01 | Bone | Southwest, U.S. | 35.777000000 | -103.957000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 TRW-03-02 | TRW-03-02 | Bone | Southwest, U.S. | 35.777000000 | -103.957000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 BODY-02 | BODY-02 | Bone | Texas | 29.940000000 | -98.008000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 BODY-03 | BODY-03 | Bone | Texas | 29.940000000 | -98.008000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 BODY-04-A | BODY-04-A | Bone | Texas | 29.940000000 | -98.008000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 BODY-04-B | BODY-04-B | Bone | Texas | 29.940000000 | -98.008000000 | Dillon et al. (2018) | World DB | |||
| Dillon_2018 BODY-04-C | BODY-04-C | Bone | Texas | 29.940000000 | -98.008000000 | Dillon et al. (2018) | World DB | |||
| Zhao_2020 B40-1-a | B40-1-a | Bone | China | 48.650000000 | 126.170000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B41-1-a | B41-1-a | Bone | China | 48.280000000 | 126.480000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B41-1-b | B41-1-b | Bone | China | 48.280000000 | 126.480000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B42-1-a | B42-1-a | Bone | China | 47.470000000 | 126.990000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B42-1-b | B42-1-b | Bone | China | 47.470000000 | 126.990000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B43-1-a | B43-1-a | Bone | China | 45.880000000 | 126.570000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B44-1-a | B44-1-a | Bone | China | 45.000000000 | 126.010000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B44-1-b | B44-1-b | Bone | China | 45.000000000 | 126.010000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B45-1-a | B45-1-a | Bone | China | 43.970000000 | 125.300000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B45-1-b | B45-1-b | Bone | China | 43.970000000 | 125.300000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B46-1-a | B46-1-a | Bone | China | 42.350000000 | 126.390000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B47-1-a | B47-1-a | Bone | China | 41.890000000 | 123.480000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B47-1-b | B47-1-b | Bone | China | 41.890000000 | 123.480000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B48-1-a | B48-1-a | Bone | China | 40.800000000 | 122.680000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B49-1-a | B49-1-a | Bone | China | 40.910000000 | 120.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B49-2 | B49-2 | Bone | China | 40.910000000 | 120.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B49-3 | B49-3 | Bone | China | 40.910000000 | 120.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B49-4 | B49-4 | Bone | China | 40.910000000 | 120.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B49-5 | B49-5 | Bone | China | 40.910000000 | 120.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B50-1-a | B50-1-a | Bone | China | 40.320000000 | 120.350000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B52-1-b | B52-1-b | Bone | China | 39.020000000 | 121.650000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B53-1-a | B53-1-a | Bone | China | 39.980000000 | 119.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B53-1-b | B53-1-b | Bone | China | 39.980000000 | 119.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B54-1-a | B54-1-a | Bone | China | 39.740000000 | 118.700000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B55-1-a | B55-1-a | Bone | China | 38.580000000 | 116.830000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B55-2-b | B55-2-b | Bone | China | 38.580000000 | 116.830000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B56-1-a | B56-1-a | Bone | China | 37.890000000 | 116.530000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B56-2-b | B56-2-b | Bone | China | 37.890000000 | 116.530000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B57-1-a | B57-1-a | Bone | China | 39.740000000 | 118.700000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B57-1-b | B57-1-b | Bone | China | 39.740000000 | 118.700000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B58-1-a | B58-1-a | Bone | China | 37.160000000 | 116.430000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B58-1-b | B58-1-b | Bone | China | 37.160000000 | 116.430000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B59-1-a | B59-1-a | Bone | China | 36.450000000 | 115.970000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B59-1-b | B59-1-b | Bone | China | 36.450000000 | 115.970000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B60-1-a | B60-1-a | Bone | China | 35.210000000 | 115.490000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B60-2-b | B60-2-b | Bone | China | 35.210000000 | 115.490000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B61-1-b | B61-1-b | Bone | China | 36.250000000 | 120.420000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B62-1-a | B62-1-a | Bone | China | 35.200000000 | 114.670000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B62-1-b | B62-1-b | Bone | China | 35.200000000 | 114.670000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B63-1-a | B63-1-a | Bone | China | 35.280000000 | 113.930000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B63-1-b | B63-1-b | Bone | China | 35.280000000 | 113.930000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B64-1-a | B64-1-a | Bone | China | 34.800000000 | 113.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B64-2-b | B64-2-b | Bone | China | 34.800000000 | 113.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B65-1-a | B65-1-a | Bone | China | 34.770000000 | 112.980000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B65-1-b | B65-1-b | Bone | China | 34.770000000 | 112.980000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B66-1-a | B66-1-a | Bone | China | 34.720000000 | 112.450000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B66-1-b | B66-1-b | Bone | China | 34.720000000 | 112.450000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B68-1-b | B68-1-b | Bone | China | 34.760000000 | 111.210000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B68-1-a | B68-1-a | Bone | China | 34.520000000 | 110.880000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B70-1-a | B70-1-a | Bone | China | 34.580000000 | 110.100000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B70-1-b | B70-1-b | Bone | China | 34.580000000 | 110.100000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B71-1-a | B71-1-a | Bone | China | 34.500000000 | 109.500000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B71-1-b | B71-1-b | Bone | China | 34.500000000 | 109.500000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B74-1-a | B74-1-a | Bone | China | 33.550000000 | 109.880000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B74-1-b | B74-1-b | Bone | China | 33.550000000 | 109.880000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B75-1-b | B75-1-b | Bone | China | 32.300000000 | 111.620000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B75-1-a | B75-1-a | Bone | China | 29.960000000 | 114.150000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B77-1-a | B77-1-a | Bone | China | 27.850000000 | 113.010000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B77-1-b | B77-1-b | Bone | China | 27.850000000 | 113.010000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B78-1-a | B78-1-a | Bone | China | 26.870000000 | 112.700000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B78-1-b | B78-1-b | Bone | China | 26.870000000 | 112.700000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B79-1-a | B79-1-a | Bone | China | 30.670000000 | 120.970000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B79-2-b | B79-2-b | Bone | China | 30.670000000 | 120.970000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B80-1-a | B80-1-a | Bone | China | 29.340000000 | 121.440000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B80-2-b | B80-2-b | Bone | China | 29.340000000 | 121.440000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B81-1-a | B81-1-a | Bone | China | 29.160000000 | 120.380000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B81-1-b | B81-1-b | Bone | China | 29.160000000 | 120.380000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B82-1-a | B82-1-a | Bone | China | 29.080000000 | 121.310000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B82-1-b | B82-1-b | Bone | China | 29.080000000 | 121.310000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B83-1-a | B83-1-a | Bone | China | 27.590000000 | 120.470000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B83-1-b | B83-1-b | Bone | China | 27.590000000 | 120.470000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B84-1-a | B84-1-a | Bone | China | 27.110000000 | 120.250000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B84-2-b | B84-2-b | Bone | China | 27.110000000 | 120.250000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B85-1-a | B85-1-a | Bone | China | 26.680000000 | 119.590000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B85-2-b | B85-2-b | Bone | China | 26.680000000 | 119.590000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B86-1-a | B86-1-a | Bone | China | 26.140000000 | 119.550000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B86-2-b | B86-2-b | Bone | China | 26.140000000 | 119.550000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B87-1-a | B87-1-a | Bone | China | 25.180000000 | 118.870000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B87-2-b | B87-2-b | Bone | China | 25.180000000 | 118.870000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B88-1-a | B88-1-a | Bone | China | 24.590000000 | 118.340000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B88-2-b | B88-2-b | Bone | China | 24.590000000 | 118.340000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B89-1-a | B89-1-a | Bone | China | 23.950000000 | 117.410000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B89-1-b | B89-1-b | Bone | China | 23.950000000 | 117.410000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B90-1-a | B90-1-a | Bone | China | 25.290000000 | 113.040000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B90-1-b | B90-1-b | Bone | China | 25.290000000 | 113.040000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B91-1-a | B91-1-a | Bone | China | 24.270000000 | 113.680000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B91-1-b | B91-1-b | Bone | China | 24.270000000 | 113.680000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B92-1-a | B92-1-a | Bone | China | 23.700000000 | 116.980000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B92-1-b | B92-1-b | Bone | China | 23.700000000 | 116.980000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B93-1-a | B93-1-a | Bone | China | 23.610000000 | 115.110000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B93-1-b | B93-1-b | Bone | China | 23.610000000 | 115.110000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B94-1-a | B94-1-a | Bone | China | 23.480000000 | 116.080000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B94-2-b | B94-2-b | Bone | China | 23.480000000 | 116.080000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B95-1-a | B95-1-a | Bone | China | 23.510000000 | 114.390000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B95-2-b | B95-2-b | Bone | China | 23.510000000 | 114.390000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B96-1-a | B96-1-a | Bone | China | 23.350000000 | 113.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B96-2-b | B96-2-b | Bone | China | 23.350000000 | 113.630000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B97-1-a | B97-1-a | Bone | China | 22.630000000 | 113.450000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B98-1-a | B98-1-a | Bone | China | 22.470000000 | 112.770000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B98-2-b | B98-2-b | Bone | China | 22.470000000 | 112.770000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B99-1-a | B99-1-a | Bone | China | 22.100000000 | 112.220000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B100-1-a | B100-1-a | Bone | China | 21.820000000 | 111.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B100-1-b | B100-1-b | Bone | China | 21.820000000 | 111.580000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B101-1-a | B101-1-a | Bone | China | 21.570000000 | 110.720000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B101-1-b | B101-1-b | Bone | China | 21.570000000 | 110.720000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B102-1-a | B102-1-a | Bone | China | 21.010000000 | 110.030000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B102-1-b | B102-1-b | Bone | China | 21.010000000 | 110.030000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B103-1-a | B103-1-a | Bone | China | 20.280000000 | 110.200000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B103-1-b | B103-1-b | Bone | China | 20.280000000 | 110.200000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B104-1-a | B104-1-a | Bone | China | 19.950000000 | 110.430000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B104-2-b | B104-2-b | Bone | China | 19.950000000 | 110.430000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B105-1-a | B105-1-a | Bone | China | 19.570000000 | 110.380000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B105-1-b | B105-1-b | Bone | China | 19.570000000 | 110.380000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B106-1-a | B106-1-a | Bone | China | 19.100000000 | 110.490000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B106-1-b | B106-1-b | Bone | China | 19.100000000 | 110.490000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B107-1-a | B107-1-a | Bone | China | 18.830000000 | 110.390000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B107-1-b | B107-1-b | Bone | China | 18.830000000 | 110.390000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B108-1-a | B108-1-a | Bone | China | 18.550000000 | 110.030000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B108-1-b | B108-1-b | Bone | China | 18.550000000 | 110.030000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B109-1-a | B109-1-a | Bone | China | 18.300000000 | 109.360000000 | Zhao et al. (2020) | World DB | |||
| Zhao_2020 B109-2-b | B109-2-b | Bone | China | 18.300000000 | 109.360000000 | Zhao et al. (2020) | World DB | |||
| Wang_2021 Small Chany | Small Chany | Lacustrine | Russia, Baikal | 54.552250000 | 77.995860000 | 8.90 | 1.70E003 | Wang et al. (2021) | World DB | |
| Wang_2021 Tanatar 4 (64?) | Tanatar 4 (64?) | Lacustrine | Russia, Baikal | 51.627083330 | 79.852361110 | 9.25 | 4.75E003 | Wang et al. (2021) | World DB | |
| Wang_2021 Yarkov | Yarkov | Lacustrine | Russia, Baikal | 54.962400000 | 77.959500000 | 7.20 | 1.10E004 | Wang et al. (2021) | World DB | |
| Wang_2021 Djira | Djira | Lacustrine | Russia, Baikal | 52.665000000 | 79.424166670 | 9.40 | 4.10E004 | Wang et al. (2021) | World DB | |
| Wang_2021 Tanatar 6 (46?) | Tanatar 6 (46?) | Lacustrine | Russia, Baikal | 51.623000000 | 79.820611110 | 9.86 | 5.13E004 | Wang et al. (2021) | World DB | |
| Wang_2021 Petuhovo | Petuhovo | Lacustrine | Russia, Baikal | 52.113444440 | 79.157222220 | 9.81 | 5.38E004 | Wang et al. (2021) | World DB | |
| Wang_2021 Kulundinskoe | Kulundinskoe | Lacustrine | Russia, Baikal | 52.827722220 | 79.446194440 | 8.22 | 1.31E005 | Wang et al. (2021) | World DB | |
| Wang_2021 Maloe Jarovoe | Maloe Jarovoe | Lacustrine | Russia, Baikal | 53.075361110 | 79.110888890 | 7.61 | 2.26E005 | Wang et al. (2021) | World DB | |
| Wang_2021 Ebeity | Ebeity | Lacustrine | Russia, Baikal | 54.646400000 | 71.726000000 | 2.81E005 | Wang et al. (2021) | World DB | ||
| Wang_2021 Kuchukskoye | Kuchukskoye | Lacustrine | Russia, Baikal | 52.709111110 | 79.678944440 | 7.60 | 2.94E005 | Wang et al. (2021) | World DB | |
| Wang_2021 Malinovoe | Malinovoe | Lacustrine | Russia, Baikal | 51.676916670 | 79.754055560 | 7.68 | 3.39E005 | Wang et al. (2021) | World DB |
